We study the problem of mapping an input image to a tied pair consisting of a vector of parameters and an image that is created using a graphical engine from the vector of parameters. The mapping's objective is to have the output image as similar as possible to the input image. During training, no supervision is given in the form of matching inputs and outputs.
This learning problem extends two literature problems: unsupervised domain adaptation and cross domain transfer. We define a generalization bound that is based on discrepancy, and employ a GAN to implement a network solution that corresponds to this bound. Experimentally, our method is shown to solve the problem of automatically creating avatars.
WildAvatar: Learning In-the-wild 3D Avatars from the Web
School of AIA, Huazhong University of Science and Technology（华中科技大学AIA学院）；S-Lab, Nanyang Technological University（南洋理工大学S-Lab）；Great Bay University（大湾区大学）；Shanghai AI Laboratory（上海人工智能实验室）
IDOL: Instant Photorealistic 3D Human Creation from a Single Image
Nanjing University（南京大学）；Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）；Tsinghua University（清华大学）；Tencent（腾讯）；Shenzhen University of Advanced Technology（深圳理工大学）
How to Build Digital Humans? From Priors to Photorealistic Avatars
Meta；Technical University of Munich（慕尼黑技术大学）；Google（谷歌）；Tsinghua University（清华大学）；Max Planck Institute for Intelligent Systems（智能系统马克斯·普朗克研究所）；NVIDIA；Technical University of Darmstadt（达姆施塔特技术大学）；ETH Zurich（苏黎世联邦理工学院）
SEGA: Drivable 3D Gaussian Head Avatar from a Single Image
Tsinghua Shenzhen International Graduate School（清华大学深圳国际研究生院）；ByteDance（字节跳动）；Pengcheng Lab（鹏城实验室）；Department of Automation, Tsinghua University（清华大学自动化系）
MoGA: 3D Generative Avatar Prior for Monocular Gaussian Avatar Reconstruction
ETH Zürich（苏黎世联邦理工学院）；University of Tübingen, Tübingen AI Center（图宾根大学图宾根人工智能中心）；Max Planck Institute for Intelligent Systems, Tübingen（智能系统马克斯·普朗克研究所）
One-shot Implicit Animatable Avatars with Model-based Priors
Zhejiang University（浙江大学）；Max Planck Institute for Intelligent Systems（马克斯·普朗克智能系统研究所）；University of Cambridge（剑桥大学）；Xiaohongshu Inc.（小红书公司）；Fullong Inc.（福龙公司）
InfiniHuman: Infinite 3D Human Creation with Precise Control
University of Tübingen, Tübingen AI Center（图宾根大学，图宾根人工智能中心）；University of Tübingen, Tübingen AI Center, MPI for Informatics, SIC（图宾根大学，图宾根人工智能中心，马克斯·普朗克信息研究所，SIC）；University of Tübingen（图宾根大学）
Generative AI for Film Creation: A Survey of Recent Advances
Google（谷歌）；University of California, Santa Barbara（加利福尼亚大学圣巴巴拉分校）；MYStudio；Harvard University（哈佛大学）；Reality Hack；SUNY Buffalo（纽约州立大学布法罗分校）；Onceness；University of Southampton（南安普顿大学）；New York University（纽约大学）；Communication University of China（中国传媒大学）；University of Southern California（南加利福尼亚大学）；Dodge College of Film and Media Arts（道奇电影与媒体艺术学院）；Pratt Institute（普拉特学院）；Rubyspot；MIT（麻省理工学院）；Netflix（网飞）；Hong Kong University of Science and Technology（香港科技大学）
SRM-Hair: Single Image Head Mesh Reconstruction via 3D Morphable Hair
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所 多模态人工智能系统国家重点实验室）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学 人工智能学院）；Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences（中国科学院香港创新研究院 人工智能与机器人中心）
