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cs.CV2023
Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints
Muxin Zhang, Qiao Feng, Zhuo Su +3
3D human generation is increasingly significant in various applications. However, the direct use of 2D generative methods in 3D generation often results in losing local details, wh…
cs.CV2023
SemanticBoost: Elevating Motion Generation with Augmented Textual Cues
Xin He, Shaoli Huang, Xiaohang Zhan +2
Current techniques face difficulties in generating motions from intricate semantic descriptions, primarily due to insufficient semantic annotations in datasets and weak contextual…