3D Asset
3D asset generation is a rapidly evolving field focused on creating high-quality, realistic three-dimensional models efficiently and automatically. Current research emphasizes improving the fidelity and speed of generation using various techniques, including diffusion models (often leveraging triplane representations), Gaussian splatting, and multi-view consistency methods. These advancements are significantly impacting fields like gaming, virtual reality, and autonomous driving by providing accessible and efficient tools for 3D content creation, while also raising important considerations around intellectual property protection and copyright.
Papers
ParSEL: Parameterized Shape Editing with Language
Aditya Ganeshan, Ryan Y. Huang, Xianghao Xu, R. Kenny Jones, Daniel Ritchie
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
Longwen Zhang, Ziyu Wang, Qixuan Zhang, Qiwei Qiu, Anqi Pang, Haoran Jiang, Wei Yang, Lan Xu, Jingyi Yu
REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment
Haonan Han, Rui Yang, Huan Liao, Jiankai Xing, Zunnan Xu, Xiaoming Yu, Junwei Zha, Xiu Li, Wanhua Li
EG4D: Explicit Generation of 4D Object without Score Distillation
Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D Generation
Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu
Coin3D: Controllable and Interactive 3D Assets Generation with Proxy-Guided Conditioning
Wenqi Dong, Bangbang Yang, Lin Ma, Xiao Liu, Liyuan Cui, Hujun Bao, Yuewen Ma, Zhaopeng Cui
Magic-Boost: Boost 3D Generation with Mutli-View Conditioned Diffusion
Fan Yang, Jianfeng Zhang, Yichun Shi, Bowen Chen, Chenxu Zhang, Huichao Zhang, Xiaofeng Yang, Jiashi Feng, Guosheng Lin
DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation
Junkai Yan, Yipeng Gao, Qize Yang, Xihan Wei, Xuansong Xie, Ancong Wu, Wei-Shi Zheng
ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars
Zhenwei Wang, Tengfei Wang, Gerhard Hancke, Ziwei Liu, Rynson W. H. Lau
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks
Aqeel Anwar, Tae Eun Choe, Zian Wang, Sanja Fidler, Minwoo Park