OedoSoldier

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

TripoSR

SUPIR

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild

LayerDiffuse

Transparent Image Layer Diffusion using Latent Transparency

VLM_survey

Collection of AWESOME vision-language models for vision tasks

Personalize-SAM

Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

prismer

The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".

X-Decoder

[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language

UniRepLKNet

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

DAT

Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

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.

specter

SPECTER: Document-level Representation Learning using Citation-informed Transformers

APE

[CVPR 2024] Aligning and Prompting Everything All at Once for Universal Visual Perception

DCNv4

[CVPR 2024] Deformable Convolution v4

LLaVA-Grounding

A-ViT

Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)

NaViT

My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"

Adversarial-Contrastive-Learning

[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

Modality-Gap

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

SAMFeat

The official implementation of “Segment Anything Model is a Good Teacher for Local Feature Learning”.

M3ViT

[NeurIPS 2022] “M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design”, Hanxue Liang*, Zhiwen Fan*, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang

SimViT

[ICME 2022] code for the paper, SimVit: Exploring a simple vision transformer with sliding windows.

DeLVM

ARGF_multimodal_fusion

codes for: Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

OADis

Official code for "Disentangling Visual Embeddings for Attributes and Objects" Published at CVPR 2022

MixViT

[Pattern Recognition] Mix-ViT: Mixing Attentive Vision Transformer for Ultra-Fine-Grained Visual Categorization.