Stars
EDM: E(3) Equivariant Diffusion Model for Molecule Generation in 3D
Toy regression experiment with E(3)-Equivariant Graph Neural Networks on the QM9 molecular dataset, based on Hoogeboom et. al's paper on Equivariant Diffusion for Molecule Generation in 3D.
[NeurIPS 2024] Supporting code for the paper 'Diffusion Twigs with Loop Guidance for Conditional Graph Generation'.
Update-to-data resources for conditional content generation, including human motion generation, image or video generation and editing.
We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters
An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]
A MULTI-GENERATOR ENSEMBLE FRAMEWORK FOR NATURAL LANGUAGE TO SQL
PyTorch code for our NeurIPS 2023 paper "Hierarchical Integration Diffusion Model for Realistic Image Deblurring"
Official PyTorch Implementation of "The Hidden Attention of Mamba Models"
A paper list of recent mamba efforts for low-level vision.
A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision
A Collection of Papers and Codes for CVPR2025/ICCV2025/CVPR2024/ECCV2024 AIGC
[Neural Networks] Dual-domain strip attention for image restoration
[Patterns (Cell subsidiary)] The official code for "UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation".
This is official implementtaion of "VmambaIR: Visual State Space Model for Image Restoration"
guitarmind / U-Mamba
Forked from bowang-lab/U-MambaU-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
VMamba: Visual State Space Models，code is based on mamba
Reducing the blurring noise of text images by Convolutional Neural Networks
Causal depthwise conv1d in CUDA, with a PyTorch interface
[CVPR 2023] Efficient Frequency Domain-based Transformer for High-Quality Image Deblurring
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
A curated list of resources for Image and Video Deblurring