DachunKai
Phd student of University of Science and Technology of China
University of Science and Technology of ChinaHefei, Anhui Province, China
Pinned Repositories
ambient-sound-self-supervision
Implementing "Ambient Sound Provides Supervision for Visual Learning"
arXiv2021-RIFE
Real-Time Intermediate Flow Estimation for Video Frame Interpolation
awesome-awesomeness
A curated list of awesome awesomeness
Awesome-CVPR2021-CVPR2020-Low-Level-Vision
A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision
Awesome-Image-Distortion-Correction
A curated list of resources on handling Rolling Shutter effects and Radial Distortions
EBVSR
About Event-based Video Super-Resolution, ICIP 2023 Oral.
EvTexture
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
gwork_docker
My gwork dockerfile backup
Paper_Reading
My paper reading slides and tex code
vid2e_docker
Vid2E docker environmnet
DachunKai's Repositories
DachunKai/EvTexture
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
DachunKai/Paper_Reading
My paper reading slides and tex code
DachunKai/EBVSR
About Event-based Video Super-Resolution, ICIP 2023 Oral.
DachunKai/gwork_docker
My gwork dockerfile backup
DachunKai/vid2e_docker
Vid2E docker environmnet
DachunKai/arXiv2021-RIFE
Real-Time Intermediate Flow Estimation for Video Frame Interpolation
DachunKai/awesome-awesomeness
A curated list of awesome awesomeness
DachunKai/Awesome-CVPR2021-CVPR2020-Low-Level-Vision
A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision
DachunKai/Awesome-Image-Distortion-Correction
A curated list of resources on handling Rolling Shutter effects and Radial Distortions
DachunKai/Awesome-Image-Inpainting
A curated list of image inpainting and video inpainting papers and resources
DachunKai/awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
DachunKai/Awesome-Optical-Flow
This is a list of awesome paper about optical flow and related work.
DachunKai/CVPR2023-DMVFN
CVPR2023 (highlight) - A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
DachunKai/e2calib
CVPRW 2021: How to calibrate your event camera
DachunKai/event-based_vision_resources
DachunKai/event_utils
Collection of event based vision utility functions
DachunKai/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
DachunKai/imagepy
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
DachunKai/kornia
Open Source Differentiable Computer Vision Library
DachunKai/learning_research
DachunKai/leetcode_101
LeetCode 101：和你一起你轻松刷题（C++）
DachunKai/LibMTL
A PyTorch Library for Multi-Task Learning
DachunKai/Low-Level-Vision-Paper-Record
记录近期的 1) 图像/视频的超分增强等low level vision任务; 2) 图像生成 等任务相关论文, 主要为18年以后的DL based方法.
DachunKai/mmflow
OpenMMLab optical flow toolbox and benchmark
DachunKai/Multiverse
Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction". And for the ECCV'20 SimAug paper.
DachunKai/PaddleGAN
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
DachunKai/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
DachunKai/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
DachunKai/rpg_ev-transfer
Open source implementation of RAL 2022 "Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation"
DachunKai/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch