InfinityStar: Unified Spacetime AutoRegressive Modeling for Visual Generation
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Abstract (arXiv)
We introduce InfinityStar, a unified spacetime autoregressive framework for high-resolution image and dynamic video synthesis. Building on the recent success of autoregressive modeling in both vision and language, our purely discrete approach jointly captures spatial and temporal dependencies within a single architecture. This unified design naturally supports a variety of generation tasks such as text-to-image, text-to-video, image-to-video, and long interactive video synthesis via straightforward temporal autoregression. Extensive experiments demonstrate that InfinityStar scores 83.74 on VBench, outperforming all autoregressive models by large margins, even surpassing some diffusion competitors like HunyuanVideo. Without extra optimizations, our model generates a 5s, 720p video approximately 10x faster than leading diffusion-based methods. To our knowledge, InfinityStar is the first discrete autoregressive video generator capable of producing industrial level 720p videos. We release all code and models to foster further research in efficient, high-quality video generation.
Key facts. Cited by 45 papers in the map (data through 14 Oct 2026). Builds on 45 of its 52 references that are in the map. First posted on arXiv 6 Nov 2025.
Builds on
45 of 52 references.
References · 45
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- 2024CogVideoX: Text-to-Video Diffusion Models with An Expert Transformercited by 2,261
- 2024HunyuanVideo: A Systematic Framework For Large Video Generative Modelscited by 1,660
- 2024Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Predictioncited by 1,023
- 2023GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignmentcited by 972
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- 2025Cosmos World Foundation Model Platform for Physical AIcited by 864
- 2024Emu3: Next-Token Prediction is All You Needcited by 781
- 2024Autoregressive Model Beats Diffusion: Llama for Scalable Image Generationcited by 777
- 2024Show-o: One Single Transformer to Unify Multimodal Understanding and Generationcited by 752
- 2023PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallelcited by 660
- 2021VideoGPT: Video Generation using VQ-VAE and Transformerscited by 658
- 2024Open-Sora: Democratizing Efficient Video Production for Allcited by 652
- 2023Language Model Beats Diffusion -- Tokenizer is Key to Visual Generationcited by 640
- 2023VideoCrafter1: Open Diffusion Models for High-Quality Video Generationcited by 535
- 2023VideoPoet: A Large Language Model for Zero-Shot Video Generationcited by 492
- 2024Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Modelcited by 483
- 2024ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignmentcited by 475
- 2024Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generationcited by 457
- 2024Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teacherscited by 393
- 2024SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformerscited by 340
- 2024Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesiscited by 304
- 2023Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generationcited by 302
- 2024Autoregressive Video Generation without Vector Quantizationcited by 186
- 2025UniTok: A Unified Tokenizer for Visual Generation and Understandingcited by 153
- 2024Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokenscited by 147
- 2024MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captionscited by 146
- 2023Make Pixels Dance: High-Dynamic Video Generationcited by 140
- 2024OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generationcited by 118
- 2024Image and Video Tokenization with Binary Spherical Quantizationcited by 112
- 2025Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understandingcited by 81
- 2025Goku: Flow Based Video Generative Foundation Modelscited by 67
- 2024Liquid: Language Models are Scalable and Unified Multi-modal Generatorscited by 63
- 2025NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scalecited by 57
- 2025Waver: Wave Your Way to Lifelike Video Generationcited by 52
- 2024Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Modelscited by 41
- 2024Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesiscited by 33
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Citing papers per year: 2025: 4; 2026: 41.
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- 2026Helios: Real Real-Time Long Video Generation Modelcited by 65
- 2025End-to-End Training for Autoregressive Video Diffusion via Self-Resamplingcited by 52
- 2025Spatia: Video Generation with Updatable Spatial Memorycited by 40
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- 2026StableWorld: Towards Stable and Consistent Long Interactive Video Generationcited by 12
- 2026PISCO: Precise Video Instance Insertion with Sparse Controlcited by 10
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- 2026The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamicscited by 8
- 2025Semantic Context Matters: Improving Conditioning for Autoregressive Modelscited by 7
- 2026RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPOcited by 7
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- 2026EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detectioncited by 6
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- 2026GRNEdit: Efficient General Video Editing from a New Binary-Evidence Perspective in Generative Refinement Networkscited by 2
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- 2026Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generationcited by 1
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- 2026VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generationcited by 1
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- 2026StepVAR: Structure-Texture Guided Pruning for Visual Autoregressive Modelscited by 0
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- 2026Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Predictioncited by 0
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- 2026HumanForge: A Human-Centric Deepfake Video Benchmark with Multi-Agent Forgery Rationalescited by 0
- 2026Improving Sample Diversity in Autoregressive Text-to-Image Generation via Cluster Truncationcited by 0
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- 2026Edit-VAR: Taming Visual Autoregressive Model for Precise Video Editing18 Sep 2026
- 2026Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling10 Sep 2026
- 2026WALL-SS: Scaling Long-horizon World Models via Next-Scale Autoregression26 Aug 2026
- 2026Photorealistic Novel View Synthesis of Human Faces using Next-Scale Transformers24 Aug 2026
- 2026GRNEdit: Efficient General Video Editing from a New Binary-Evidence Perspective in Generative Refinement Networks17 Aug 2026
- 2026SparSTAR: Sparse Attention for SpaceTime AutoRegressive Video Synthesis11 Aug 2026
- 2026Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation29 Jul 2026
- 2026VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation15 Jul 2026
- 2026Improving Sample Diversity in Autoregressive Text-to-Image Generation via Cluster Truncation12 Jul 2026
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- 2026NaviCache: Test-Time Self-Calibration Caching for Video Generation25 Jun 2026
- 2026Flow as Flow: Modeling Robot Velocity Fields as Probability Velocity Fields for Flow-Based Object Manipulation22 Jun 2026
- 2026Training-Free Semantic Correction for Autoregressive Visual Models21 Jun 2026
- 2026SACE: Concept Erasure at the Semantic Singularity in Visual Autoregressive Models14 Jun 2026
- 2026Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models11 Jun 2026
- 2026Channel-wise Vector Quantization25 May 2026
- 2026Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation19 May 2026
- 2026WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation15 May 2026
- 2026Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Prediction15 May 2026
- 2026RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO14 May 2026
- 2026HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling14 May 2026
- 2026PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents11 May 2026
- 2026Generative Refinement Networks for Visual Synthesis14 Apr 2026
- 2026Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling29 Mar 2026
- 2026HiFlow: Tokenization-Free Scale-Wise Autoregressive Policy Learning via Flow Matching28 Mar 2026
- 2026ProGVC: Progressive-based Generative Video Compression via Auto-Regressive Context Modeling18 Mar 2026
- 2026EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection18 Mar 2026
- 2026The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics15 Mar 2026
- 2026FastSTAR: Spatiotemporal Token Pruning for Efficient Autoregressive Video Synthesis7 Mar 2026
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- 2026Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers21 Jan 2026
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- 2025End-to-End Training for Autoregressive Video Diffusion via Self-Resampling17 Dec 2025
- 2025DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models26 Nov 2025
- 2025Semantic Context Matters: Improving Conditioning for Autoregressive Models18 Nov 2025
- 2025End-to-End Training for Autoregressive Video Diffusion via Self-Resamplingcited by 52
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- 2026Enhancing Video Physical Consistency via Role-aware Joint Training and Modality-decoupled Denoisingcited by 3
- 2026HiFlow: Tokenization-Free Scale-Wise Autoregressive Policy Learning via Flow Matchingcited by 2
- 2026NaviCache: Test-Time Self-Calibration Caching for Video Generationcited by 2
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- 2026Improving Sample Diversity in Autoregressive Text-to-Image Generation via Cluster Truncation12 Jul 2026
- 2026HumanForge: A Human-Centric Deepfake Video Benchmark with Multi-Agent Forgery Rationales9 Jul 2026
- 2026Enhancing Video Physical Consistency via Role-aware Joint Training and Modality-decoupled Denoising6 Jul 2026
- 2026NaviCache: Test-Time Self-Calibration Caching for Video Generation25 Jun 2026
- 2026Flow as Flow: Modeling Robot Velocity Fields as Probability Velocity Fields for Flow-Based Object Manipulation22 Jun 2026
- 2026RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO14 May 2026
- 2026Generative Refinement Networks for Visual Synthesis14 Apr 2026
- 2026HiFlow: Tokenization-Free Scale-Wise Autoregressive Policy Learning via Flow Matching28 Mar 2026
- 2026Tele-Omni: a Unified Multimodal Framework for Video Generation and Editing10 Feb 2026
- 2026PISCO: Precise Video Instance Insertion with Sparse Control9 Feb 2026
- 2026Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers21 Jan 2026
- 2025End-to-End Training for Autoregressive Video Diffusion via Self-Resampling17 Dec 2025
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- 2026WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation15 May 2026
- 2026The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics15 Mar 2026
- 2026GeoWorld: Geometric World Models26 Feb 2026
- 2026Helios: Real Real-Time Long Video Generation Modelcited by 65
- 2025Spatia: Video Generation with Updatable Spatial Memorycited by 40
- 2026StableWorld: Towards Stable and Consistent Long Interactive Video Generationcited by 12
- 2025Semantic Context Matters: Improving Conditioning for Autoregressive Modelscited by 7
- 2026ProGVC: Progressive-based Generative Video Compression via Auto-Regressive Context Modelingcited by 3
- 2026VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generationcited by 2
- 2026Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generationcited by 2
- 2026GRNEdit: Efficient General Video Editing from a New Binary-Evidence Perspective in Generative Refinement Networkscited by 2
- 2026PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documentscited by 1
- 2026VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generationcited by 1
- 2026Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modelingcited by 0
- 2026Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Predictioncited by 0
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- 2026HGA-Quant: Heterogeneity-Aware Quantization for AutoRegressive Visual Generation Models11 Oct 2026
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- 2026RoboSTAR: Next-Scale Autoregressive Sign Language Translation for Humanoid Robots26 Sep 2026
- 2026Edit-VAR: Taming Visual Autoregressive Model for Precise Video Editing18 Sep 2026
- 2026Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling10 Sep 2026
- 2026Photorealistic Novel View Synthesis of Human Faces using Next-Scale Transformers24 Aug 2026
- 2026GRNEdit: Efficient General Video Editing from a New Binary-Evidence Perspective in Generative Refinement Networks17 Aug 2026
- 2026SparSTAR: Sparse Attention for SpaceTime AutoRegressive Video Synthesis11 Aug 2026
- 2026Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation29 Jul 2026
- 2026VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation15 Jul 2026
- 2026Training-Free Semantic Correction for Autoregressive Visual Models21 Jun 2026
- 2026Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models11 Jun 2026
12 newest of 22 All 22 (JSON)