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Matting-Anything

Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.

Matte-Anything

[Image and Vision Computing (Vol.147 Jul. '24)] Interactive Natural Image Matting with Segment Anything Models

DCT-Net

Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization

AnimeGANv3

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

StraightToThePoint_CVPR_2020

Original PyTorch implementation of the code for the paper "Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data" at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

guided-diffusion

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

MVSS-Net

code for Image Manipulation Detection by Multi-View Multi-Scale Supervision

Awesome-Face-Forgery-Generation-and-Detection

A curated list of articles and codes related to face forgery generation and detection.

adaptive_cfa_forensics

transferable-forensic-features

[ECCV 2022: Oral] In this work, we discover that color is a crtical transferable forensic feature (T-FF) in universal detectors for detecting CNN-generated images.

multiscale-prnu

Multi-scale Analysis Strategies in PRNU-based Tampering Localization

FakeImageDetector

Image Tampering Detection using ELA and CNN

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.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

PanopticFCN

Fully Convolutional Networks for Panoptic Segmentation (CVPR2021 Oral)

transfiner

Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

SETR

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

VNext

Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))

OneFormer

OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

MODNet

A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]

rembg

Rembg is a tool to remove images background

SIM

Official repository of Semantic Image Matting