% Key papers for Next-scale and token autoregressive images (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_autoregressive_18325,
  title = {{Autoregressive Image Generation Using Residual Quantization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2024_visual_73330,
  title = {{Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94115},
}

@inproceedings{neurips2021_imagebart_61122,
  title = {{ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26261},
}

@inproceedings{cvpr2025_infinity_26625,
  title = {{Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34414},
}

@inproceedings{neurips2024_autoregressive_72453,
  title = {{Autoregressive Image Generation without Vector Quantization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94905},
}

@inproceedings{cvpr2023_towards_22363,
  title = {{Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22990},
}

@inproceedings{neurips2022_nuwa_63693,
  title = {{NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54352},
}

@inproceedings{icml2021_bang_39075,
  title = {{BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8523},
}

@inproceedings{cvpr2023_not_21720,
  title = {{Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22980},
}

@inproceedings{cvpr2025_parallelized_27218,
  title = {{Parallelized Autoregressive Visual Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34410},
}

@inproceedings{cvpr2025_randar_27375,
  title = {{RandAR: Decoder-only Autoregressive Visual Generation in Random Orders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33854},
}

@inproceedings{cvpr2025_collaborative_25738,
  title = {{Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33605},
}

@inproceedings{cvpr2025_editar_26084,
  title = {{EditAR: Unified Conditional Generation with Autoregressive Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34111},
}

@inproceedings{neurips2022_draft_64926,
  title = {{Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53954},
}

@inproceedings{neurips2025_understand_77916,
  title = {{Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Z4hi1a9FsB},
}

@inproceedings{iclr2024_sequencematch_34003,
  title = {{SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19072},
}

@inproceedings{neurips2025_flexvar_74854,
  title = {{FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=1qKvZX4qnp},
}

@inproceedings{neurips2025_freqexit_75908,
  title = {{FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=DUlZTgLkeh},
}

@inproceedings{neurips2025_nfig_79234,
  title = {{NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nHNYDM6PVz},
}

@inproceedings{iclr2025_hart_83553,
  title = {{HART: Efficient Visual Generation with Hybrid Autoregressive Transformer}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/32057},
}

@inproceedings{iclr2026_mvar_88445,
  title = {{MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=mkr1ZrwgeJ},
}

@inproceedings{aaai2026_next_104245,
  title = {{Next Patch Prediction for AutoRegressive Visual Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37774},
}

@inproceedings{aaai2026_scalar_105247,
  title = {{SCALAR: Scale-wise Controllable Visual Autoregressive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38119},
}

@inproceedings{icml2024_denoising_44902,
  title = {{Denoising Autoregressive Representation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33550},
}

@inproceedings{icml2025_flowar_46897,
  title = {{FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45682},
}

@inproceedings{icml2025_continuous_47831,
  title = {{Continuous Visual Autoregressive Generation via Score Maximization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44770},
}

@inproceedings{icml2025_tractable_48244,
  title = {{Tractable Transformers for Flexible Conditional Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44368},
}