6 papers
NI-Tex: Non-isometric Image-based Garment Texture Generation
Hui Shan, Ming Li, Haitao Yang +4
Existing industrial 3D garment meshes already cover most real-world clothing geometries, yet their texture diversity remains limited. To acquire more realistic textures, generative…
EvalVerse: Pipeline-Aware and Expert-Calibrated Benchmarking for Professional Cinematic Video Generation
Songlin Yang, Haobin Zhong, Ruilin Zhang +23
The rapid evolution of generative video foundation models has propelled the field toward professional-grade cinematic synthesis. To achieve such demanding quality, the community tr…
AudioFace: Language-Assisted Speech-Driven Facial Animation with Multimodal Language Models
Kai Zheng, Zejian Kang, Rui Mao +4
Speech-driven facial animation requires accurate correspondence between acoustic signals and facial motion, especially for articulation-related mouth movements. However, directly m…
SuperFace: Preference-Aligned Facial Expression Estimation Beyond Pseudo Supervision
Zejian Kang, Xuanyang Xu, Wentao Yang +6
Accurate facial estimation is crucial for realistic digital human animation, and ARKit blendshape coefficients offer an interpretable representation by mapping facial motions to se…
ReWeaver: Towards Simulation-Ready and Topology-Accurate Garment Reconstruction
Ming Li, Hui Shan, Kai Zheng +5
High-quality 3D garment reconstruction plays a crucial role in mitigating the sim-to-real gap in applications such as digital avatars, virtual try-on and robotic manipulation. Howe…
SemanticFace: Semantic Facial Action Estimation via Semantic Distillation in Interpretable Space
Zejian Kang, Kai Zheng, Yuanchen Fei +3
Facial action estimation from a single image is often formulated as predicting or fitting parameters in compact expression spaces, which lack explicit semantic interpretability. Ho…