Daily Papers
- Defect Detection
- Defect Segmentation
- Anomaly Detection
- 3D Anomaly Detection
- Multimodal Anomaly Detection
- Vector Quantization
Updated on 2026.03.17
Defect Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-3-16 | A Self-Evolving Defect Detection Framework for Industrial Photovoltaic Systems | Haoyu He et.al | paper | - | - |
| 2026-3-15 | Multi-Period Texture Contrast Enhancement for Low-Contrast Wafer Defect Detection and Segmentation | Zihan Zhang et.al | paper | - | - |
| 2026-3-14 | Multi-View Camera System for Variant-Aware Autonomous Vehicle Inspection and Defect Detection | Yash Kulkarni et.al | paper | - | - |
| 2026-3-13 | Vision-Language Based Expert Reporting for Painting Authentication and Defect Detection | Eman Ouda et.al | paper | - | <summary>detail</summary>Submitted to Journal of Cultural Heritage |
| 2026-3-11 | StructDamage:A Large Scale Unified Crack and Surface Defect Dataset for Robust Structural Damage Detection | Misbah Ijaz et.al | paper | - | - |
| 2026-3-6 | ExDD: Explicit Dual Distribution Learning for Surface Defect Detection via Diffusion Synthesis | Muhammad Aqeel et.al | paper | code | <summary>detail</summary>ICIAP 2025 |
| 2026-2-20 | Cross-Modal Purification and Fusion for Small-Object RGB-D Transmission-Line Defect Detection | Jiaming Cui et.al | paper | - | - |
| 2026-2-11 | Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation | Nadeem Nazer et.al | paper | - | - |
| 2026-1-22 | A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection | Yangjie Xiao et.al | paper | code | - |
| 2026-1-16 | SME-YOLO: A Real-Time Detector for Tiny Defect Detection on PCB Surfaces | Meng Han et.al | paper | - | - |
| 2026-1-15 | NATLM: Detecting Defects in NFT Smart Contracts Leveraging LLM | Yuanzheng Niu et.al | paper | - | - |
| 2026-1-13 | LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data | Jackie Alex et.al | paper | - | - |
| 2026-1-9 | SSR: Safeguarding Staking Rewards by Defining and Detecting Logical Defects in DeFi Staking | Zewei Lin et.al | paper | - | - |
| 2026-1-1 | Application Research of a Deep Learning Model Integrating CycleGAN and YOLO in PCB Infrared Defect Detection | Chao Yang et.al | paper | - | - |
| 2025-12-16 | TACK Tunnel Data (TTD): A Benchmark Dataset for Deep Learning-Based Defect Detection in Tunnels | Andreas Sjölander et.al | paper | - | - |
| 2025-12-12 | A Comparative Analysis of Semiconductor Wafer Map Defect Detection with Image Transformer | Sushmita Nath et.al | paper | - | <summary>detail</summary>submit/7075585 |
| 2025-12-11 | Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data | Jessica Plassmann et.al | paper | - | - |
| 2025-12-5 | SPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection | Peizhe Zhao et.al | paper | - | - |
| 2025-12-5 | Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect Detection | Jessica Plassmann et.al | paper | - | - |
| 2025-11-25 | Automated Neural Architecture Design for Industrial Defect Detection | Yuxi Liu et.al | paper | code | - |
| 2025-11-17 | Saliency-Guided Deep Learning for Bridge Defect Detection in Drone Imagery | Loucif Hebbache et.al | paper | - | - |
| 2025-11-13 | TinyDef-DETR: A Transformer-Based Framework for Defect Detection in Transmission Lines from UAV Imagery | Feng Shen et.al | paper | - | - |
| 2025-11-4 | Image-Intrinsic Priors for Integrated Circuit Defect Detection and Novel Class Discovery via Self-Supervised Learning | Botong. Zhao et.al | paper | - | - |
| 2025-10-28 | Unsupervised Machine-Learning Pipeline for Data-Driven Defect Detection and Characterisation: Application to Displacement Cascades | Samuel Del Fré et.al | paper | - | - |
| 2025-10-21 | Comparative Analysis of Object Detection Algorithms for Surface Defect Detection | Arpan Maity et.al | paper | - | - |
Defect Segmentation
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-3-15 | Multi-Period Texture Contrast Enhancement for Low-Contrast Wafer Defect Detection and Segmentation | Zihan Zhang et.al | paper | - | - |
| 2026-2-11 | Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation | Nadeem Nazer et.al | paper | - | - |
| 2026-1-22 | A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection | Yangjie Xiao et.al | paper | code | - |
| 2025-11-24 | A Storage-Efficient Feature for 3D Concrete Defect Segmentation to Replace Normal Vector | Linxin Hua et.al | paper | - | - |
| 2025-11-8 | Point Cloud Segmentation of Integrated Circuits Package Substrates Surface Defects Using Causal Inference: Dataset Construction and Methodology | Bingyang Guo et.al | paper | - | - |
| 2025-11-6 | KARMA: Efficient Structural Defect Segmentation via Kolmogorov-Arnold Representation Learning | Md Meftahul Ferdaus et.al | paper | code | <summary>detail</summary>This work has been submitted to the IEEE for possible publication |
| 2025-10-15 | Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects | Hang-Cheng Dong et.al | paper | - | - |
| 2025-10-6 | Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation | Christina Thrainer et.al | paper | - | - |
| 2025-10-1 | Defect Segmentation in OCT scans of ceramic parts for non-destructive inspection using deep learning | Andrés Laveda-Martínez et.al | paper | - | - |
| 2025-9-11 | Unsupervised Integrated-Circuit Defect Segmentation via Image-Intrinsic Normality | Botong Zhao et.al | paper | - | - |
| 2025-8-6 | MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning | Ylli Sadikaj et.al | paper | - | - |
| 2025-7-23 | Exploring Active Learning for Semiconductor Defect Segmentation | Lile Cai et.al | paper | - | <summary>detail</summary>accepted to ICIP 2022 |
| 2025-7-14 | Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images | Abhishek Jha et.al | paper | code | - |
| 2025-6-28 | Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception | Hang-Cheng Dong et.al | paper | - | - |
| 2025-6-24 | Evolutionary computing-based image segmentation method to detect defects and features in Additive Friction Stir Deposition Process | Akshansh Mishra et.al | paper | - | - |
| 2025-6-17 | synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? | Johannes Flotzinger et.al | paper | - | - |
| 2025-4-24 | Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees | Cheng Shen et.al | paper | - | <summary>detail</summary>Under Review |
| 2025-4-11 | Weakly Supervised Panoptic Segmentation for Defect-Based Grading of Fresh Produce | Manuel Knott et.al | paper | code | <summary>detail</summary>Accepted as a paper to the 6th International Workshop on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture in conjunction with IEEE/CVF CVPR 2025 |
| 2025-2-11 | Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models | Tongkun Liu et.al | paper | code | - |
| 2025-1-23 | Effective Defect Detection Using Instance Segmentation for NDI | Ashiqur Rahman et.al | paper | code | - |
| 2025-1-17 | Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography | Mohammed Salah et.al | paper | - | <summary>detail</summary>Pulse thermography |
| 2024-10-24 | Synth4Seg – Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization | Shancong Mou et.al | paper | - | - |
| 2024-10-1 | Application of Segment Anything Model for Civil Infrastructure Defect Assessment | Mohsen Ahmadi et.al | paper | - | - |
| 2024-9-20 | Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation | Geonuk Kim et.al | paper | - | <summary>detail</summary>ECCV 2024 VISION workshop Most Innovative Prize |
| 2024-8-31 | Change-Aware Siamese Network for Surface Defects Segmentation under Complex Background | Biyuan Liu et.al | paper | - | - |
Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-3-16 | GATE-AD: Graph Attention Network Encoding For Few-Shot Industrial Visual Anomaly Detection | Aggelos Psiris et.al | paper | code | - |
| 2026-3-16 | Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection | Kadir-Kaan Özer et.al | paper | code | <summary>detail</summary>Main: 17 Pages |
| 2026-3-16 | Multi-turn Physics-informed Vision-language Model for Physics-grounded Anomaly Detection | Yao Gu et.al | paper | - | <summary>detail</summary>Accepted by IEEE ICASSP2026 |
| 2026-3-15 | Towards One-for-All Anomaly Detection for Tabular Data | Shiyuan Li et.al | paper | - | - |
| 2026-3-14 | TACTIC for Navigating the Unknown: Tabular Anomaly deteCTion via In-Context inference | Patryk Marszałek et.al | paper | - | - |
| 2026-3-14 | UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression | Yuan Zhao et.al | paper | code | <summary>detail</summary>Accepted by CVPR 2026 |
| 2026-3-14 | VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery | Fabrizio Genilotti et.al | paper | - | - |
| 2026-3-14 | ABounD: Adversarial Boundary-Driven Few-Shot Learning for Multi-Class Anomaly Detection | Runzhi Deng et.al | paper | - | - |
| 2026-3-14 | VID-AD: A Dataset for Image-Level Logical Anomaly Detection under Vision-Induced Distraction | Hiroto Nakata et.al | paper | code | - |
| 2026-3-14 | MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection | Lizhao Zhang et.al | paper | - | <summary>detail</summary>store |
| 2026-3-14 | AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison | Xi Jiang et.al | paper | - | - |
| 2026-3-13 | Explainable Visual Anomaly Detection via Concept Bottleneck Models | Arianna Stropeni et.al | paper | - | - |
| 2026-3-13 | MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection | Jinwei Hu et.al | paper | - | - |
| 2026-3-13 | Unsupervised anomaly detection in MeV ultrafast electron diffraction | Mariana A. Fazio et.al | paper | - | - |
| 2026-3-13 | GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration | Yihao Ding et.al | paper | - | <summary>detail</summary>Work in progress |
| 2026-3-13 | Topo-R1: Detecting Topological Anomalies via Vision-Language Models | Meilong Xu et.al | paper | - | - |
| 2026-3-13 | Cross Pseudo Labeling For Weakly Supervised Video Anomaly Detection | Dayeon Lee et.al | paper | code | <summary>detail</summary>ICASSP 2026 |
| 2026-3-13 | LADMIM: Logical Anomaly Detection with Masked Image Modeling in Discrete Latent Space | Shunsuke Sakai et.al | paper | code | <summary>detail</summary>TMLR2025 |
| 2026-3-12 | A Photorealistic Dataset and Vision-Based Algorithm for Anomaly Detection During Proximity Operations in Lunar Orbit | Selina Leveugle et.al | paper | - | <summary>detail</summary>In IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE International Conference on Robotics and Automation (ICRA’26) |
| 2026-3-12 | Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows | David Baumgartner et.al | paper | - | - |
| 2026-3-12 | InvAD: Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models | Shunsuke Sakai et.al | paper | code | <summary>detail</summary>CVPR2026 |
| 2026-3-11 | ECoLAD: Deployment-Oriented Evaluation for Automotive Time-Series Anomaly Detection | Kadir-Kaan Özer et.al | paper | - | - |
| 2026-3-11 | STREAM-VAE: Dual-Path Routing for Slow and Fast Dynamics in Vehicle Telemetry Anomaly Detection | Kadir-Kaan Özer et.al | paper | - | <summary>detail</summary>appear in the 2026 IEEE Intelligent Vehicles Symposium (IV 2026) |
| 2026-3-11 | No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection | Zunkai Dai et.al | paper | code | <summary>detail</summary>Accepted by CVPR 2026 |
| 2026-3-11 | RC-NF: Robot-Conditioned Normalizing Flow for Real-Time Anomaly Detection in Robotic Manipulation | Shijie Zhou et.al | paper | - | <summary>detail</summary>the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 |
3D Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-3-4 | Cross-Modal Mapping and Dual-Branch Reconstruction for 2D-3D Multimodal Industrial Anomaly Detection | Radia Daci et.al | paper | code | - |
| 2026-2-25 | GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning | Zehao Deng et.al | paper | code | <summary>detail</summary>Accepted by CVPR 2026 |
| 2026-2-16 | Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models | Tai Le-Gia et.al | paper | - | <summary>detail</summary>Accepted for MIDL 2026 |
| 2026-2-11 | DMP-3DAD: Cross-Category 3D Anomaly Detection via Realistic Depth Map Projection with Few Normal Samples | Zi Wang et.al | paper | - | - |
| 2025-12-15 | 3D Human-Human Interaction Anomaly Detection | Shun Maeda et.al | paper | - | - |
| 2025-12-14 | A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features | Hanzhe Liang et.al | paper | - | <summary>detail</summary>Preprint |
| 2025-11-23 | PointAD+: Learning Hierarchical Representations for Zero-shot 3D Anomaly Detection | Qihang Zhou et.al | paper | - | <summary>detail</summary>Submitted to TPAMI |
| 2025-11-16 | CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection | Yaohua Zha et.al | paper | code | <summary>detail</summary>AAAI 2026 |
| 2025-11-5 | IEC3D-AD: A 3D Dataset of Industrial Equipment Components for Unsupervised Point Cloud Anomaly Detection | Bingyang Guo et.al | paper | - | - |
| 2025-10-19 | Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection | Yuyang Yu et.al | paper | - | - |
| 2025-10-14 | IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR | Ziyun Liang et.al | paper | code | <summary>detail</summary>Published in Medical Image Analysis |
| 2025-9-23 | 3D-ADAM: A Dataset for 3D Anomaly Detection in Additive Manufacturing | Paul McHard et.al | paper | - | - |
| 2025-9-16 | Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection | Hanzhe Liang et.al | paper | - | <summary>detail</summary>ACM MM25 Accepted |
| 2025-9-12 | MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection | Gang Li et.al | paper | - | <summary>detail</summary>Page 14 |
| 2025-8-28 | IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection | Xuanming Cao et.al | paper | - | - |
| 2025-8-19 | Stereo-based 3D Anomaly Object Detection for Autonomous Driving: A New Dataset and Baseline | Shiyi Mu et.al | paper | code.) | <summary>detail</summary>under review |
| 2025-8-2 | C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor | Haoquan Lu et.al | paper | code | <summary>detail</summary>We have provided the code for C3D-AD with checkpoints and BASELINE at this link: https://github |
| 2025-8-1 | SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark | Alex Costanzino et.al | paper | code | <summary>detail</summary>ICCV 2025 |
| 2025-8-1 | HyPCV-Former: Hyperbolic Spatio-Temporal Transformer for 3D Point Cloud Video Anomaly Detection | Jiaping Cao et.al | paper | - | - |
| 2025-7-29 | Multi-View Reconstruction with Global Context for 3D Anomaly Detection | Yihan Sun et.al | paper | - | - |
| 2025-7-27 | Position: Untrained Machine Learning for Anomaly Detection by using 3D Point Cloud Data | Juan Du et.al | paper | - | - |
| 2025-7-25 | BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection | An Xiang et.al | paper | code | - |
| 2025-7-24 | MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection | Jiayi Cheng et.al | paper | code | - |
| 2025-7-17 | 3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering | Zi Wang et.al | paper | - | - |
| 2025-7-10 | Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects | Yuqi Cheng et.al | paper | - | - |
Multimodal Anomaly Detection
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-3-4 | Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wild | Shanle Yao et.al | paper | - | - |
| 2026-3-4 | Cross-Modal Mapping and Dual-Branch Reconstruction for 2D-3D Multimodal Industrial Anomaly Detection | Radia Daci et.al | paper | code | - |
| 2026-3-3 | Towards an Incremental Unified Multimodal Anomaly Detection: Augmenting Multimodal Denoising From an Information Bottleneck Perspective | Kaifang Long et.al | paper | - | - |
| 2026-2-26 | Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection | Furkan Mumcu et.al | paper | - | - |
| 2026-2-23 | EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models | Xiaomeng Peng et.al | paper | - | - |
| 2026-2-17 | Can Multimodal LLMs Perform Time Series Anomaly Detection? | Xiongxiao Xu et.al | paper | - | <summary>detail</summary>ACM Web Conference 2026 (WWW’26) |
| 2026-2-11 | Enhancing Weakly Supervised Multimodal Video Anomaly Detection through Text Guidance | Shengyang Sun et.al | paper | - | <summary>detail</summary>Accepted by IEEE Transactions on Multimedia |
| 2026-2-9 | AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection | Junru Zhang et.al | paper | - | <summary>detail</summary>Preprint |
| 2026-1-22 | VTFusion: A Vision-Text Multimodal Fusion Network for Few-Shot Anomaly Detection | Yuxin Jiang et.al | paper | - | - |
| 2026-1-20 | Physic-HM: Restoring Physical Generative Logic in Multimodal Anomaly Detection via Hierarchical Modulation | Xiao Liu et.al | paper | - | <summary>detail</summary>Working in progress |
| 2025-11-23 | Multimodal Real-Time Anomaly Detection and Industrial Applications | Aman Verma et.al | paper | - | - |
| 2025-11-16 | Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory | Yuxuan Lin et.al | paper | code | <summary>detail</summary>Accepted by AAAI 2026 |
| 2025-11-10 | RobustA: Robust Anomaly Detection in Multimodal Data | Salem AlMarri et.al | paper | - | <summary>detail</summary>Submitted to IEEE Transactions on Image Processing |
| 2025-10-16 | Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation | Wenbo Sui et.al | paper | - | <summary>detail</summary>For a published version refer to the Information Fusion |
| 2025-10-15 | IAD-GPT: Advancing Visual Knowledge in Multimodal Large Language Model for Industrial Anomaly Detection | Zewen Li et.al | paper | code | <summary>detail</summary>Accepted by IEEE Transactions on Instrumentation and Measurement (TIM) |
| 2025-9-12 | MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection | Gang Li et.al | paper | - | <summary>detail</summary>Page 14 |
| 2025-8-20 | PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments | Bernd Hofmann et.al | paper | - | - |
| 2025-8-6 | AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization | Jingyi Liao et.al | paper | - | - |
| 2025-8-1 | SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark | Alex Costanzino et.al | paper | code | <summary>detail</summary>ICCV 2025 |
| 2025-7-25 | BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection | An Xiang et.al | paper | code | - |
| 2025-7-25 | Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners | Xinyue Liu et.al | paper | code | - |
| 2025-7-23 | HiProbe-VAD: Video Anomaly Detection via Hidden States Probing in Tuning-Free Multimodal LLMs | Zhaolin Cai et.al | paper | - | <summary>detail</summary>Accepted by ACM MM 2025 |
| 2025-6-23 | Multimodal Anomaly Detection with a Mixture-of-Experts | Christoph Willibald et.al | paper | - | - |
| 2025-6-20 | When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network | Dong Xiao et.al | paper | - | <summary>detail</summary>ICML 2025 Spotlight |
| 2025-5-28 | OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning | Shifang Zhao et.al | paper | - | - |
Vector Quantization
| Date | Title | Authors | Code | Comments | |
|---|---|---|---|---|---|
| 2026-3-14 | Purrception: Variational Flow Matching for Vector-Quantized Image Generation | Răzvan-Andrei Matişan et.al | paper | - | <summary>detail</summary>Published as a conference paper at ICLR 2026 |
| 2026-3-11 | Leech Lattice Vector Quantization for Efficient LLM Compression | Tycho F. A. van der Ouderaa et.al | paper | - | - |
| 2026-3-4 | Vector-Quantized Soft Label Compression for Dataset Distillation | Ali Abbasi et.al | paper | - | - |
| 2026-3-3 | ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization | Hao Cao et.al | paper | - | - |
| 2026-2-24 | KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models | Zukang Xu et.al | paper | - | <summary>detail</summary>Accepted by ICLR 2026 |
| 2026-2-22 | VQEL: Enabling Self-Play in Emergent Language Games via Agent-Internal Vector Quantization | Mohammad Mahdi Samiei Paqaleh et.al | paper | - | - |
| 2026-2-21 | Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization | Hao Lu et.al | paper | code | - |
| 2026-2-19 | VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation | Linwei Zhai et.al | paper | - | - |
| 2026-2-12 | Multiscale Vector-Quantized Variational Autoencoder for Endoscopic Image Synthesis | Dimitrios E. Diamantis et.al | paper | - | <summary>detail</summary>Journal ref:Proc |
| 2026-2-7 | Residual Vector Quantization For Communication-Efficient Multi-Agent Perception | Dereje Shenkut et.al | paper | - | <summary>detail</summary>ICASSP 2026 |
| 2026-2-6 | Online Vector Quantized Attention | Nick Alonso et.al | paper | - | - |
| 2026-2-5 | Price of universality in vector quantization is at most 0.11 bit | Alina Harbuzova et.al | paper | - | <summary>detail</summary>41 page |
| 2026-2-5 | Vector Quantization using Gaussian Variational Autoencoder | Tongda Xu et.al | paper | - | - |
| 2026-2-4 | VQ-DSC-R: Robust Vector Quantized-Enabled Digital Semantic Communication With OFDM Transmission | Jianqiao Chen et.al | paper | - | - |
| 2026-2-2 | Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery | Xuemin Yu et.al | paper | - | - |
| 2026-2-2 | Revisiting Adaptive Rounding with Vectorized Reparameterization for LLM Quantization | Yuli Zhou et.al | paper | code | - |
| 2026-2-2 | Bandwidth-Efficient Multi-Agent Communication through Information Bottleneck and Vector Quantization | Ahmad Farooq et.al | paper | - | <summary>detail</summary>the 2026 IEEE International Conference on Robotics and Automation (ICRA 2026) |
| 2026-2-2 | ParaGSE: Parallel Generative Speech Enhancement with Group-Vector-Quantization-based Neural Speech Codec | Fei Liu et.al | paper | - | <summary>detail</summary>Accepted by ICASSP 2026 |
| 2026-2-1 | Generalized Radius and Integrated Codebook Transforms for Differentiable Vector Quantization | Haochen You et.al | paper | - | <summary>detail</summary>This paper has been accepted as a conference paper at CPAL 2026 |
| 2026-1-29 | Pushing Toward the Simplex Vertices: A Simple Remedy for Code Collapse in Smoothed Vector Quantization | Takashi Morita et.al | paper | - | - |
| 2026-1-26 | Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression | Xi Zhang et.al | paper | code | <summary>detail</summary>NeurIPS 2025 Poster |
| 2026-1-21 | SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation | Hui Li et.al | paper | - | - |
| 2026-1-17 | Scene-Aware Vectorized Memory Multi-Agent Framework with Cross-Modal Differentiated Quantization VLMs for Visually Impaired Assistance | Xiangxiang Wang et.al | paper | - | - |
| 2026-1-15 | VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation | Sicheng Yang et.al | paper | code | <summary>detail</summary>Accepted by NeurIPS 2025 |
| 2026-1-14 | FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems | Tianqi Zhang et.al | paper | - | - |