1 citations · 1 across the 4 of their papers we have counts for
6 papers
HeadLighter: Disentangling Illumination in Generative 3D Gaussian Heads via Lightstage Captures
Yating Wang, Yuan Sun, Xuan Wang +6
Recent 3D-aware head generative models based on 3D Gaussian Splatting achieve real-time, photorealistic and view-consistent head synthesis. However, a fundamental limitation persis…
MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning
Jinkun Hao, Naifu Liang, Zhen Luo +8
The ability of robots to interpret human instructions and execute manipulation tasks necessitates the availability of task-relevant tabletop scenes for training. However, tradition…
Collaborative Face Experts Fusion in Video Generation: Boosting Identity Consistency Across Large Face Poses
Yuji Wang, Moran Li, Xiaobin Hu +7
Current video generation models struggle with identity preservation under large face poses, primarily facing two challenges: the difficulty in exploring an effective mechanism to i…
Identity-Preserving Text-to-Video Generation Guided by Simple yet Effective Spatial-Temporal Decoupled Representations
Yuji Wang, Moran Li, Xiaobin Hu +7
Identity-preserving text-to-video (IPT2V) generation, which aims to create high-fidelity videos with consistent human identity, has become crucial for downstream applications. Howe…
3D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
Yating Wang, Xuan Wang, Ran Yi +4
Recent studies have combined 3D Gaussian and 3D Morphable Models (3DMM) to construct high-quality 3D head avatars. In this line of research, existing methods either fail to capture…
Textual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation
Ke Fan, Jiangning Zhang, Ran Yi +6
Text-to-motion generation is a crucial task in computer vision, which generates the target 3D motion by the given text. The existing annotated datasets are limited in scale, result…