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Computer Vision Lab, ETH Zürich
- Zürich, Switzerland
- https://jingyunliang.github.io/
Stars
MotionBank: A Large-scale Video Motion Benchmark with Disentangled Rule-based Annotations
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024
[CVPR2024] DisCo: Referring Human Dance Generation in Real World
⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,850+ 道「LeetCode 题目」详细解析,200 道「大厂面试热门题目」。
MoVideo: Motion-Aware Video Generation with Diffusion Models
Refine high-quality datasets and visual AI models
Easily create large video dataset from video urls
"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.
A Scalable Pipeline for Making Steerable Multi-Task Mid-Level Vision Datasets from 3D Scans [ICCV 2021]
High-Resolution Image Synthesis with Latent Diffusion Models
Toolbox of models, callbacks, and datasets for AI/ML researchers.
VPNStatus, a replacement for macOS builtin VPN Status
PyTorch implementation of "Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV2022)"
Flops counter for convolutional networks in pytorch framework
A Collection of Papers and Codes in ECCV2022 about low level vision
PyTorch implementation of "Towards Interpretable Video Super-Resolution via Alternating Optimization (ECCV2022)"
Event-based Fusion for Motion Deblurring with Cross-modal Attention (ECCV'22 Oral) https://ahupujr.github.io/EFNet/
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration
Official PyTorch implementation of StyleGAN3
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
Paper accepted by CVPR Workshop, NTIRE 2022
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)
Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)