OliverRensu

GRAT. This repository includes the official implementation of our paper "Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers"

xAR. This repository includes the official implementation of our paper "Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation"

FlowAR. “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with any VAE.

MVAR. Python

UltraPixel. Implementation of UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks

ARM. [ICLR2025] This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision

jax-diffusion-transformer. Implementation of Diffusion Transformer (DiT) in JAX

LlamaGen. Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation

VAR. [NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

SuPreM. [ICLR 2024 oral; top 1.2%] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

MinMic. Code base for behavior cloning algorithms, built with simplicity in mind.

AbdomenAtlas. [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)

D-iGPT. [ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Learners"

MixCon3D. [CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"

SG-Former. Python

Awesome-World-Models. This repository is a collection of research papers on World Models.

VisionLLM. VisionLLM Series

VideoLLM. VideoLLM: Modeling Video Sequence with Large Language Models

RTNet. Python

Transfer-Any-Style. An interactive demo based on Segment-Anything for style transfer which enables different content regions apply different styles.

vit_analysis. Jupyter Notebook

Shunted-Transformer. Python

co-advise. Python

DeepMIM. [WACV2025 Oral] DeepMIM: Deep Supervision for Masked Image Modeling

TinyMIM. Python

SimpleMAE. Python

SimSiam. A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'