[ICCV2023] The Devil is in the upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior

Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising"

Learning Implicit Feature Alignment Function for Semantic Segmentation, ECCV 2022

The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference".

MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction

QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction (CVPR 2024)

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

Collection of awesome test-time (domain/batch/instance) adaptation methods

PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

continual learning algorithms from CVPR 2021 and ICLR 2021

Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".

[ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

This repository contains the pytorch code for our ISBI 2024 paper "ConvLoRA and AdaBN Based Domain Adaptation via Self-Training".

[ICCV 2023] Implicit Neural Representation for Cooperative Low-light Image Enhancement

Simple implementation of OpenAI CLIP model in PyTorch.

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

Code for "Understanding and Improving Layer Normalization"

Code for our CVPR'23 paper: "Polynomial Implicit Neural Representations For Large Diverse Datasets"

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

Official PyTorch implementation of the NeurIPS 2022 paper "Improving Diffusion Models for Inverse Problems using Manifold Constraints (https://arxiv.org/abs/2206.00941)"

Vivim: a Video Vision Mamba for Medical Video Segmentation

VMamba: Visual State Space Models，code is based on mamba