3 papers
cs.CV2024
InfNeRF: Towards Infinite Scale NeRF Rendering with O(log n) Space Complexity
Jiabin Liang, Lanqing Zhang, Zhuoran Zhao +1
The conventional mesh-based Level of Detail (LoD) technique, exemplified by applications such as Google Earth and many game engines, exhibits the capability to holistically represe…
cs.CV2024
Instant3D: Instant Text-to-3D Generation
Ming Li, Pan Zhou, Jia-Wei Liu +4
Text-to-3D generation has attracted much attention from the computer vision community. Existing methods mainly optimize a neural field from scratch for each text prompt, relying on…
cs.CV2024
SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation
Xiangyu Xu, Lijuan Liu, Shuicheng Yan
Existing Transformers for monocular 3D human shape and pose estimation typically have a quadratic computation and memory complexity with respect to the feature length, which hinder…