Yixin Yang's repositories
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
ControlNet-v1-1-nightly
Nightly release of ControlNet 1.1
Image-Cutting-Tool
Image cutting, comparison and save.
pytorch-hed
a reimplementation of Holistically-Nested Edge Detection in PyTorch
CVPR2023_NTIRE_Video_Colorization
Baseline model and evaluation code for CVPR 2023 NTIRE workshop Video Colorization challenge
DisentangledColorization
A colorization framework that disentangles the color multimodality and the structural consistency via adaptively located anchors, so that both aspects can be achieved effectively. [SIGGRAPH Asia 2022]
FasterViT
Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
gamut-mlp
Repository for the paper: GamutMLP - A Lightweight MLP for Color Loss Recovery (CVPR 2023)
Invertible-Image-Rescaling
[ECCV 2020, IJCV 2022] Invertible Image Rescaling
MAT
MAT: Mask-Aware Transformer for Large Hole Image Inpainting
MulimgViewer
MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.
Paint-by-Example
Paint by Example: Exemplar-based Image Editing with Diffusion Models
PaletteNeRF
Official implementation of the paper PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields
PVDM
Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).
ReDegNet
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)
sam-hq
Segment Anything in High Quality
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Stark
[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking
Text2Video-Zero
Text-to-Image Diffusion Models are Zero-Shot Video Generators
Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.
video-diffusion-pytorch
Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
visual-chatgpt
VisualChatGPT
XMem
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model