PaperBanana: Automating Academic Illustration For AI Scientists

Language-Free Universal Vision Anomaly Detection

[KBS 2025] A Feature Shuffling and Restoration Strategy for Universal Unsupervised Anomaly Detection

中国科研常用LaTeX模板集

A set of ready to use scientific skills for Claude

Paper list for industrial image anomaly synthesis methods.

nsfc - 国家自然科学基金项目LaTeX模版(面地青CBA)

[AAAI 2026] 中文公众号报道

[DEIMv2] Real Time Object Detection Meets DINOv3

A curated list of publications on image and video segmentation leveraging Multimodal Large Language Models (MLLMs), highlighting state-of-the-art methods, innovative applications, and key advanceme…

[AAAI 2026 Oral] LENS: Learning to Segment Anything with Unified Reinforced Reasoning

NeurIPS 2025 Spotlight; ICLR2024 Spotlight; CVPR 2024; EMNLP 2024

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the…

Project Page For "Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement"

Paper list for LLM/MLLM-based image segmentation

[AAAI 2026] The Official Implementation for "Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation"

[AAAI 2026 Oral] The Official Implementation for "Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects"

(CVPR 2025 highlight✨) Official repository of paper "LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models"

A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..

[Neurips 2025 Spotlight] Official repository for the paper: OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts

[AAAI 2026] Official Implementation for "AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer"

Detect Anything via Next Point Prediction (Based on Qwen2.5-VL-3B)

[JMS 2026] A Comprehensive Survey for Real-World Industrial Surface Defect Detection: Challenges, Approaches, and Prospects (Journal of Manufacturing Systems)

A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.

We have summarised all 3D anomaly detection methods and datasets (still updating). 多模态，点云和姿势无关异常检测的综述仓库（持续更新）