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
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D
Wei Cheng, Juncheng Mu, Xianfang Zeng, Xin Chen, Anqi Pang, Chi Zhang, Zhibin Wang, Bin Fu, Gang Yu, Ziwei Liu, Liang Pan
Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
Xianghui Yang, Huiwen Shi, Bowen Zhang, Fan Yang, Jiacheng Wang, Hongxu Zhao, Xinhai Liu, Xinzhou Wang, Qingxiang Lin, Jiaao Yu, Lifu Wang, Zhuo Chen, Sicong Liu, Yuhong Liu, Yong Yang, Di Wang, Jie Jiang, Chunchao Guo