Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging"

the method of "Video Inverse Tone Mapping Network with Luma and Chroma Mapping"

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond (IJCAI 23)

Reimplementation of Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

Underwater image enhancement/restoration methods in TPAMI/IJCV/TIP .

Summary of Publicly Available Underwater Image Enhancement Method

Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution

Boths Code------Xu Liu, Sen Lin*, Kaichen Chi, Zhiyong Tao, and Yang Zhao, "Boths: Super Lightweight Network-Enabled Underwater Image Enhancement", IEEE Geoscience and Remote Sensing Letters, 2023,…

Unofficial Pytorch implementation of the Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration (InDI)) by Delbracio et al 2023

Mamba SSM architecture

the basic implementation of repository Face Super-Resolution Guided by 3D Facial Priors

[ICCV 2021 (Oral Presentation)] Dual-Camera Super-Resolution with Aligned Attention Modules (RefSR)

WACV2024 - Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution

ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

[ICLR 2023] Selective Frequency Network for Image Restoration

Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.

The official implementation of CVPR 2023 paper: Inverting the Imaging Process by Learning an Implicit Camera Model

T3Bench: Benchmarking Current Progress in Text-to-3D Generation

Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"

The code of Adaptive Underwater Image Enhancement Guided by Generalized Imaging Components (our IEEE SPL paper), which has been accepted.

SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution (BMVC2021)

Trainable Loss Weights in Super-Resolution

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

ICCV 2023: Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction