征稿启事：TPAMI 特刊-基于生成式人工智能的 3D 视觉

生成式人工智能（GenAI）在3D计算机视觉领域的迅速发展，正在推动虚拟现实、增强现实、游戏和电影制作、计算机辅助设计以及新兴的元宇宙等多个领域的变革。为引领下一代3D生成式人工智能技术和应用的新突破，谷歌、西安交大、ETH、慕尼黑工大、斯坦福、CMU、西蒙弗雷泽大学、马克斯普朗克研究所、UC Merced等国内外多所研究机构共同举办 TPAMI 特刊“Generative AI in 3D Vision”，目前特刊已开发投稿，投稿截止日期为2024年8月15日。

特刊主页：https://genai3d.github.io/。

IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI)是计算机视觉与模式识别领域的顶级学术期刊之一，属于中科院一区，CCF-A，影响因子20.8。TPAMI 一直致力于发表高质量的研究论文，涵盖模式识别、机器学习、计算机视觉、图像处理等领域，在学术界有着杰出的影响力。

本特刊的主题包括但不限于：

• Advances in 3D generative models, such as GANs, VAEs, Autoregressive models, Diffusion models, Normalizing Flow
• Innovations in 3D representations for GenAI, such as point clouds, meshes, voxels, neural fields, Gaussian splatting, multiplane images
• 3D reconstruction from single or sparse views
• Novel view synthesis
• 3D human generation, reconstruction, and animation
• 3D from multi-modality, such as text, audio, etc.
• Multi-view image generation from multi-modality, such as text, audio, etc.
• 4D (dynamic) generation and reconstruction
• 3D scene/object manipulation, such as instruction-based editing, drag-based editing, multi-object interaction, style transfer
• Applications of 3D generative models in fields like virtual/augmented reality, gaming, film production, computer-aided design, Metaverse, robotics, and embodied AI
• Evaluation metrics and benchmarks for 3D generative models
• Efficiency and scalability of 3D generative models
• Robustness and security of 3D generative models

投稿指南

作者应按照TPAMI的官方指南（https://www.computer.org/web/tpami/author）准备稿件。所有论文将按照TPAMI的评审程序进行同行评审。稿件请提交至TPAMI官方投稿系统（https://mc.manuscriptcentral.com/tpami-cs）。