Stars
Official repository for "It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data" (CVPR 2025)
[CVPR2024] Official Codes for "Adversarial Score Distillation: When score distillation meets GAN"
[CVPR24] Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Official PyTorch implementation of SegFormer
CVPR2022 - Deep Hierarchical Semantic Segmentation - A structured, pixel-wise description of visual scenes in terms of the class hierarchy.
Official repository of the paper "Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation"
Official Implementation of "CAT-Seg🐱: Cost Aggregation for Open-Vocabulary Semantic Segmentation"
Reading notes about Multimodal Large Language Models, Large Language Models, and Diffusion Models
Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.
A latent text-to-image diffusion model
High-Resolution Image Synthesis with Latent Diffusion Models
[NeurIPS 2023] OV-PARTS: Towards Open-Vocabulary Part Segmentation
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation
PyTorch code and models for the DINOv2 self-supervised learning method.
iBOT 🤖: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"
[CVPR-2023] Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation
(TPAMI 2024) A Survey on Open Vocabulary Learning
国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）
Semi-Supervised Learning, Object Detection, ICCV2021
Graph Neural Network Library for PyTorch
Code for the paper "Visual Recognition by Request".
Unsupervised Semantic Segmentation by Distilling Feature Correspondences