[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

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

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

[ICLR 2025] Autoregressive Video Generation without Vector Quantization

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

VibeVoiceFusion is a full-stack, multi-speaker voice generation web system featuring LoRA fine-tuning, batch generation, and VRAM optimization. Based on Microsoft's VibeVoice (AR + diffusion architecture)

Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation"

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)

official training and inference code of bitwise tokenizer

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

[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

ICLR 2026-MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning

Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

[ICCV 2025] Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation

[ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs

Official PyTorch implementation for "Zero-Shot Styled Text Image Generation, but Make It Autoregressive" (CVPR25)

Ultra-minimal autoregressive diffusion model for image generation

[CVPR 2026] FlashMesh: Faster and Better Autoregressive Mesh Synthesis via Structured Speculation

PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023