Aihou's Stars
AHupuJR/EFNet
Event-based Fusion for Motion Deblurring with Cross-modal Attention (ECCV'22 Oral) https://ahupujr.github.io/EFNet/
chakravarthi589/Event-based-Vision_Resources
Resources Related to Event-based Vision | Event Cameras | DVS
AHupuJR/REFID
Official repository for CVPR 2023 paper "Event-Based Frame Interpolation with Ad-hoc Deblurring"
fourson/Deblurring-Low-Light-Images-with-Events
IJCV2023 paper: Deblurring Low-Light Images with Events
wyang-vis/STCNet
Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events
nathanaelbosch/generative-latent-optimization
PyTorch Implementation: "Optimizing the Latent Space of Generative Networks"
ubc-vision/LSENeRF
chensong1995/DeblurSR
DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation (AAAI 2024)
VinAIResearch/Blur2Blur
Blur Conversion for Unsupervised Image Deblurring (CVPR'24)
ShinyWang33/eSL-Net-Plusplus
eSL-Net++
Lucchetto/SuperImage
Sharpen your low-resolution pictures with the power of AI upscaling
apache/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Aitical/SCNet
[MIR 24] Fully 1x1 Convolutional Network for Lightweight Image Super-Resolution
hjynwa/NeurImg-HDR
vsitzmann/siren
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
wzpscott/EvINR
NygmaLin/IREANet
yinboc/liif
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
ShinyWang33/eSL-Net
yunfanLu/UniINR
[ECCV2024] UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
rflepp/SplitterNet-Efficient-Mobile-Denoising-Models-CVPR2024
This framework includes the loading of different datasets as well as several denoising models. Several of the models are optimized for mobile usage. Those models include a simple U-Net, the winning models of the MAI2021 challenge by NOAHTCV and Megvii and the newly proposed SplitterNet. Furthermore there are ResNet_18, PlainNet, a classical UNet...
facebookresearch/SparseConvNet
Submanifold sparse convolutional networks
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
CASR-HKU/ESDA
Kai-Liu001/2DQuant
PyTorch code for our paper "2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution"
norishigefukushima/nonLocalMeans
non-local means filter for OpenCV
guochengqian/TENet
[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
EternalEvan/FlowIE
This repository contains the official implementation of "FlowIE: Efficient Image Enhancement via Rectified Flow"
boomluo02/EEMFlow
Official PyTorch implementation for "Efficient Meshflow and Optical Flow Estimation from Event Cameras"
kai422/IART
[CVPR 2024 Highlight] Enhancing Video Super-Resolution via Implicit Resampling-based Alignment.