Lists (2)
Stars
A high-throughput and memory-efficient inference and serving engine for LLMs
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
[An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models, 2025, CVPR]
[CVPR 2025 (Oral)] Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
Official code repository for the ICASSP 2025 paper: "BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction"
[CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"
An official implementation of ECCV 2022 paper "Attention Diversification for Domain Generalization".
The official implementation of "GaussianCity: Generative Gaussian Splatting for Unbounded 3D City Generation". (CVPR 2025)
A Survey on CLIP in Medical Imaging
A Collection of Papers and Codes for CVPR2025/CVPR2024/ECCV2024 AIGC
A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision
[A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling, 2024, CVPR]
Streamlining the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Model(SRStitcher)
ICCV2023 - Parallax-Tolerant Unsupervised Deep Image Stitching (UDIS++)
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
A curated list of papers, code and resources pertaining to image composition/compositing or object insertion/addition/compositing, which aims to generate realistic composite image.
Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A Minmax Perspective" (NCFM) in CVPR 2025 (Highlight).
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
[ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
[ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.
A unified source-free domain adaptation framework.
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
[TMLR 2025🔥] A survey for the autoregressive models in vision.