yc-cui

DiffSwap

[CVPR 2023] DiffSwap is a diffusion-based face-swapping framework.

Hyperspectral-Imaging

MST

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

SLTtrack

Official Implementation of Towards Sequence-Level Training for Visual Tracking (ECCV 2022)

VideoX

VideoX: a collection of video cross-modal models

ARTrack

JCLIP

video-mamba-suite

The suite of modeling video with Mamba

MultiModalMamba

A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.

fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

CANConv

Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening

Dif-PAN

Diff-PAN: Denoising Diffusion Model for Pansharpening offical repository

GEDI-BDL

This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

RealBasicVSR

Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"

RealVSR

Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"

Upscale-A-Video

Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

Blind-Satellite-VSR

[IEEE TGRS 2023] Deep Blind Super-Resolution for Satellite Video

MMIF-CDDFuse

[CVPR 2023] Official implementation for "CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion."

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Inpaint-Anything

Inpaint anything using Segment Anything and inpainting models.

fbrs_interactive_segmentation

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

RePaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

ritm_interactive_segmentation

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

OMG-Seg

[CVPR-2024] One Model For Image/Video/Instractive/Open-Vocabulary Segmentation

AnyDoor

Official implementations for paper: Anydoor: zero-shot object-level image customization

ClickSEG

A code base for interactive segmentation