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[upd] third-party usage and research conference
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‎README.md‎

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(`Note please report accuracy numbers and provide trained models in your new repository to facilitate others to get sense of correctness and model behavior`)
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| **Time** | **Research** | **Link** |
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|--------------|-----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------|
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| [5/12/2025] | Continuous Visual Autoregressive Generation via Score Maximization | https://github.com/shaochenze/EAR |
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| [5/8/2025] | Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction | https://github.com/icon-lab/FedGAT |
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| [4/7/2025] | FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning | https://github.com/csguoh/FastVAR |
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| [4/3/2025] | VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning | https://github.com/VARGPT-family/VARGPT-v1.1 |
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| [3/31/2025] | Training-Free Text-Guided Image Editing with Visual Autoregressive Model | https://github.com/wyf0912/AREdit |
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| [3/17/2025] | Next-Scale Autoregressive Models are Zero-Shot Single-Image Object View Synthesizers | https://github.com/Shiran-Yuan/ArchonView |
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| [3/14/2025] | Safe-VAR: Safe Visual Autoregressive Model for Text-to-Image Generative Watermarking | https://arxiv.org/abs/2503.11324 |
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| [3/3/2025] | Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator | https://research.nvidia.com/labs/dir/ddo/ |
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| [2/28/2025] | Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction | https://arxiv.org/abs/2502.20784 |
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| [2/27/2025] | FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction | https://github.com/jiaosiyu1999/FlexVAR |
178-
| [2/17/2025] | MARS: Mesh AutoRegressive Model for 3D Shape Detailization | https://arxiv.org/abs/2502.11390 |
179-
| [1/31/2025] | Visual Autoregressive Modeling for Image Super-Resolution | https://github.com/quyp2000/VARSR |
180-
| [1/21/2025] | VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model | https://github.com/VARGPT-family/VARGPT |
181-
| [1/26/2025] | Visual Generation Without Guidance | https://github.com/thu-ml/GFT |
182-
| [12/30/2024] | Next Token Prediction Towards Multimodal Intelligence | https://github.com/LMM101/Awesome-Multimodal-Next-Token-Prediction |
183-
| [12/30/2024] | Varformer: Adapting VAR’s Generative Prior for Image Restoration | https://arxiv.org/abs/2412.21063 |
184-
| [12/22/2024] | [ICLR 2025]Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching | https://github.com/imagination-research/distilled-decoding |
185-
| [12/19/2024] | FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching | https://github.com/OliverRensu/FlowAR |
186-
| [12/13/2024] | 3D representation in 512-Byte: Variational tokenizer is the key for autoregressive 3D generation | https://github.com/sparse-mvs-2/VAT |
187-
| [12/9/2024] | CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction | https://carp-robot.github.io/ |
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| [12/5/2024] | [CVPR 2025]Infinity ∞: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis | https://github.com/FoundationVision/Infinity |
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| [12/5/2024] | [CVPR 2025]Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis | https://github.com/yandex-research/switti |
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| [12/4/2024] | [CVPR 2025]TokenFlow🚀: Unified Image Tokenizer for Multimodal Understanding and Generation | https://github.com/ByteFlow-AI/TokenFlow |
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| [12/3/2024] | XQ-GAN🚀: An Open-source Image Tokenization Framework for Autoregressive Generation | https://github.com/lxa9867/ImageFolder |
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| [11/28/2024] | [CVPR 2025]CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient | https://github.com/czg1225/CoDe |
193-
| [11/28/2024] | [CVPR 2025]Scalable Autoregressive Monocular Depth Estimation | https://arxiv.org/abs/2411.11361 |
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| [11/27/2024] | [CVPR 2025]SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE | https://github.com/cyw-3d/SAR3D |
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| [11/26/2024] | LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization | https://arxiv.org/abs/2411.17178 |
196-
| [11/15/2024] | M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation | https://github.com/OliverRensu/MVAR |
197-
| [10/14/2024] | [ICLR 2025]HART: Efficient Visual Generation with Hybrid Autoregressive Transformer | https://github.com/mit-han-lab/hart |
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| [10/12/2024] | [ICLR 2025 Oral]Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment | https://github.com/thu-ml/CCA |
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| [10/3/2024] | [ICLR 2025]ImageFolder🚀: Autoregressive Image Generation with Folded Tokens | https://github.com/lxa9867/ImageFolder |
200-
| [07/25/2024] | ControlVAR: Exploring Controllable Visual Autoregressive Modeling | https://github.com/lxa9867/ControlVAR |
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| [07/3/2024] | VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling | https://github.com/daixiangzi/VAR-CLIP |
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| [06/16/2024] | STAR: Scale-wise Text-to-image generation via Auto-Regressive representations | https://arxiv.org/abs/2406.10797 |
166+
| **Time** | **Research** | **Link** |
167+
|--------------|-------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------|
168+
| [5/12/2025] | [ICML 2025]Continuous Visual Autoregressive Generation via Score Maximization | https://github.com/shaochenze/EAR |
169+
| [5/8/2025] | Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction | https://github.com/icon-lab/FedGAT |
170+
| [4/7/2025] | FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning | https://github.com/csguoh/FastVAR |
171+
| [4/3/2025] | VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning | https://github.com/VARGPT-family/VARGPT-v1.1 |
172+
| [3/31/2025] | Training-Free Text-Guided Image Editing with Visual Autoregressive Model | https://github.com/wyf0912/AREdit |
173+
| [3/17/2025] | Next-Scale Autoregressive Models are Zero-Shot Single-Image Object View Synthesizers | https://github.com/Shiran-Yuan/ArchonView |
174+
| [3/14/2025] | Safe-VAR: Safe Visual Autoregressive Model for Text-to-Image Generative Watermarking | https://arxiv.org/abs/2503.11324 |
175+
| [3/3/2025] | [ICML 2025]Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator | https://research.nvidia.com/labs/dir/ddo/ |
176+
| [2/28/2025] | Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction | https://arxiv.org/abs/2502.20784 |
177+
| [2/27/2025] | FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction | https://github.com/jiaosiyu1999/FlexVAR |
178+
| [2/17/2025] | MARS: Mesh AutoRegressive Model for 3D Shape Detailization | https://arxiv.org/abs/2502.11390 |
179+
| [1/31/2025] | [ICML 2025]Visual Autoregressive Modeling for Image Super-Resolution | https://github.com/quyp2000/VARSR |
180+
| [1/21/2025] | VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model | https://github.com/VARGPT-family/VARGPT |
181+
| [1/26/2025] | [ICML 2025]Visual Generation Without Guidance | https://github.com/thu-ml/GFT |
182+
| [12/30/2024] | Next Token Prediction Towards Multimodal Intelligence | https://github.com/LMM101/Awesome-Multimodal-Next-Token-Prediction |
183+
| [12/30/2024] | Varformer: Adapting VAR’s Generative Prior for Image Restoration | https://arxiv.org/abs/2412.21063 |
184+
| [12/22/2024] | [ICLR 2025]Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching | https://github.com/imagination-research/distilled-decoding |
185+
| [12/19/2024] | FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching | https://github.com/OliverRensu/FlowAR |
186+
| [12/13/2024] | 3D representation in 512-Byte: Variational tokenizer is the key for autoregressive 3D generation | https://github.com/sparse-mvs-2/VAT |
187+
| [12/9/2024] | CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction | https://carp-robot.github.io/ |
188+
| [12/5/2024] | [CVPR 2025]Infinity ∞: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis | https://github.com/FoundationVision/Infinity |
189+
| [12/5/2024] | [CVPR 2025]Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis | https://github.com/yandex-research/switti |
190+
| [12/4/2024] | [CVPR 2025]TokenFlow🚀: Unified Image Tokenizer for Multimodal Understanding and Generation | https://github.com/ByteFlow-AI/TokenFlow |
191+
| [12/3/2024] | XQ-GAN🚀: An Open-source Image Tokenization Framework for Autoregressive Generation | https://github.com/lxa9867/ImageFolder |
192+
| [11/28/2024] | [CVPR 2025]CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient | https://github.com/czg1225/CoDe |
193+
| [11/28/2024] | [CVPR 2025]Scalable Autoregressive Monocular Depth Estimation | https://arxiv.org/abs/2411.11361 |
194+
| [11/27/2024] | [CVPR 2025]SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE | https://github.com/cyw-3d/SAR3D |
195+
| [11/26/2024] | LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization | https://arxiv.org/abs/2411.17178 |
196+
| [11/15/2024] | M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation | https://github.com/OliverRensu/MVAR |
197+
| [10/14/2024] | [ICLR 2025]HART: Efficient Visual Generation with Hybrid Autoregressive Transformer | https://github.com/mit-han-lab/hart |
198+
| [10/12/2024] | [ICLR 2025 Oral]Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment | https://github.com/thu-ml/CCA |
199+
| [10/3/2024] | [ICLR 2025]ImageFolder🚀: Autoregressive Image Generation with Folded Tokens | https://github.com/lxa9867/ImageFolder |
200+
| [07/25/2024] | ControlVAR: Exploring Controllable Visual Autoregressive Modeling | https://github.com/lxa9867/ControlVAR |
201+
| [07/3/2024] | VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling | https://github.com/daixiangzi/VAR-CLIP |
202+
| [06/16/2024] | STAR: Scale-wise Text-to-image generation via Auto-Regressive representations | https://arxiv.org/abs/2406.10797 |
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## License

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