[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!

[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

PDEBench: An Extensive Benchmark for Scientific Machine Learning

(Accepted by IJCV) Liquid: Language Models are Scalable and Unified Multi-modal Generators

[NeurIPS 2025 Oral]Infinity⭐️: Unified Spacetime AutoRegressive Modeling for Visual Generation

[ICLR 2025] Autoregressive Video Generation without Vector Quantization

[NeurIPS 2025 Spotlight] A Unified Tokenizer for Visual Generation and Understanding

A complete full-stack voice generation solution with an intuitive user interface, project management, and advanced VRAM optimization features

Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021

High-performance Image Tokenizers for VAR and AR

Interactive Character Control with Auto-Regressive Motion Diffusion Models

SSR-Speech: Towards Stable, Safe and Robust Zero-shot Speech Editing and Synthesis

the official repo for "D-AR: Diffusion via Autoregressive Models"

An Efficient Text-to-Image Generation Pretrain Pipeline

Generative model for sequential recommendation based on Convolution Neural Networks (CNN))

Offical implementation of "Auto-Regressively Generating Multi-View Consistent Images". (ICCV 2025)

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)

official training and inference code of bitwise tokenizer

[ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series to benchmark datasets from different domains