weleslie

AcfNet

[AAAI2020] Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching

GwcNet

Group-wise Correlation Stereo Network, CVPR 2019

ACVNet

[CVPR 2022] ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching

CFNet

CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching（CVPR2021）

aanet

[CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching

Depth-Completion

🍀 Official pytorch implementation of "Indoor Depth Completion with Boundary Consistency and Self-Attention. Huang et al. RLQ@ICCV 2019."

PENet_ICRA2021

ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

DeepCompletionRelease

Deep Depth Completion of a Single RGB-D Image

Graft-PSMNet

GDSR-DCTNet

[CVPR 2022 Oral] Official implementation for "Discrete Cosine Transform Network for Guided Depth Map Super-Resolution."

jiif

[ACM MM 2021] Joint Implicit Image Function for Guided Depth Super-Resolution

LoFTR

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

gmflow

[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching

PMRID

ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices

stereo-transformer

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

DCL-DepthSynthesis

Unpaired Depth Synthesis Using Differential Contrastive Learning

MGD

Masked Generative Distillation (ECCV 2022)

RealSR

Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)

Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

Invertible-ISP

[CVPR2021] Invertible Image Signal Processing

sgnet

joint demosaicing and denoising with self guidance, cvpr20

TENet

[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

End-to-End-JDNDMSR

End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution

Deep-Residual-Network-for-JointDemosaicing-and-Super-Resolution

Deep-Residual-Network-for-JointDemosaicing-and-Super-Resolution pytorch 复现工作

Spinning-Parallelogram-Operator

Robust Depth Estimation for Light Field via Spinning Parallelogram Operator

CycleISP

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

DPT

Dynamic-convolution-Pytorch

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

Color-Transfer-between-Images

This is the open-source implement the paper "Color Transfer between Images" by Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley.

HHM