The official implementation of "Dynamics-Aware Sparse Attention for Efficient Autoregressive Video Diffusion"
Official code, locked protocols, and audit artifacts for "Jev-Routed Temporal Granularity with Recovery and Hysteresis for Causal Video Generation": per-segment fine/coarse/hold routing for Causal-rCM (Wan2.1-1.3B) via the Jev oracle, with two-GPU (T4/A100) feasibility audits.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
The first open autoregressive foundational video AI model.
非自回归System 1决策引擎,专为结构化类型决策场景设计 DeepOpen Multilingual, non-autoregressive System 1 decision engine.
[Official Repo] JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
Official implementation of ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation (SIGGRAPH 2026).
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++
A Curated List of Awesome Video World Models with AR Diffusion: Covering Algorithms, Applications, and Infrastructure, Aimed at Serving as a Comprehensive Resource for Researchers, Practitioners, and Enthusiasts.
On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators
Minimal and scalable research codebase in JAX, designed for rapid iteration on frontier research in LLM and other autoregressive models.
high-performance inference and serving library for interactive autoregressive video and world models
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
Autoregressive primitive-operation painter with GPU image-to-sequence converter
Autoregressive video generation with decoupled context-writing and denoising parameters, enabling up to 24-hour generation from 5s training windows.
DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
LLM‑driven autoregressive flow matching for unified speech‑music‑sound‑effect audio scene generation
The paper list of the survey "The Past Frames the Future: Memory Mechanisms for Autoregressive Video Generation"
CuteTTS: a lightweight continuous autoregressive TTS model that runs efficiently on GPUs, CPUs, and Apple silicon.
A 4B diffusion grounding model for fast, precise visual evidence extraction. Unifies diverse grounding tasks through parallel decoding, with optional self-speculative decoding delivering 4.51x autoregressive throughput on COCO.
Official Implementation for Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout
Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation
SemBridge: Semantic Token Anchoring for Continuous-Latent Autoregressive Speech Generation
Hardware-aligned latent deliberation framework decoupling System 2 continuous reasoning from System 1 autoregressive decoding.
Generation-free typed decisions on Indic LLMs. An open Jev-style inference engine on sarvam-1: constrained logit readout instead of autoregressive JSON. Runs client-side in the browser.
MosaiChunk: Compositing Spatio-Temporal Memory for Autoregressive Video Generation
Official code for "GROW: Group-Relative Advantage-Weighted On-Policy Reinforcement Learning of Autoregressive-Diffusion Text-to-Speech Model"
Agentic loop image generation without diffusion or autoregressive image models. Coding agents draw in p5.js, using iterative refinement and adversarial visual review for high-fidelity art and method figures. Skills for Claude Code and Codex.
Open reproduction of TypeSafe Jev: a 150M typed decision engine (noul/choice/score in one non-autoregressive pass, calibrated confidence). 0.697 vs Jev's 0.727, 2.5x better calibrated, 4x faster, free. Trains on a Colab T4 in 30 min.
A chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively)
Jolt implementation of Laya non-autoregressive System 1 decision engine
Glance Forcing: Making Bidirectional Diffusion Autoregressive at a Glance