Shypd.aiThe largest open index of AI toolsAutoregressive-Models-in-Vision-Survey is an Open Source tool that provides a curated survey of autoregressive models in computer vision. It offers a comprehensive list of papers and resources for researchers.
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Autoregressive-Models-in-Vision-Survey is an open-source GitHub repository that serves as a comprehensive survey of autoregressive models in the field of computer vision. It curates a list of academic papers, including those on image generation (unconditional, text-to-image, image-to-image translation, image editing), video generation, embodied AI, 3D generation, and multimodal generation. The repository is designed to be a valuable resource for researchers and practitioners, offering insights into the latest advancements and trends in autoregressive visual generation. It includes sections on pixel-wise and token-wise generation, as well as benchmarks, analysis, and evaluation metrics. The project is actively maintained with updates on new research and welcomes contributions from the community.
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