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most citedTextual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation

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cs.CV20241 cited

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…

cs.CV2024

ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image

Jinkun Hao, Junshu Tang, Jiangning Zhang +7

While recent works have achieved great success on image-to-3D object generation, high quality and fidelity 3D head generation from a single image remains a great challenge. Previou…

cs.CV2024

FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis

Ke Fan, Junshu Tang, Weijian Cao +7

Text-to-motion synthesis is a crucial task in computer vision. Existing methods are limited in their universality, as they are tailored for single-person or two-person scenarios an…

cs.CV2024

SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation

Sichen Chen, Yingyi Zhang, Siming Huang +7

Recently, transformer-based methods have achieved state-of-the-art prediction quality on human pose estimation(HPE). Nonetheless, most of these top-performing transformer-based mod…

cs.CV2024

Reconstructing Topology-Consistent Face Mesh by Volume Rendering from Multi-View Images

Yating Wang, Ran Yi, Xiaoning Lei +3

Industrial 3D face assets creation typically reconstructs topology-consistent face meshes from multi-view images for downstream production. However, high-quality reconstruction usu…