2 citations · 4 across the 14 of their papers we have counts for
6 papers · 1 filter
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
Zhe Li, Weihao Yuan, Yisheng He +7
Language plays a vital role in the realm of human motion. Existing methods have largely depended on CLIP text embeddings for motion generation, yet they fall short in effectively a…
MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling
Weihao Yuan, Weichao Shen, Yisheng He +5
Motion generation from discrete quantization offers many advantages over continuous regression, but at the cost of inevitable approximation errors. Previous methods usually quantiz…
GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation
Junhao Cai, Yuji Yang, Weihao Yuan +5
This paper studies the problem of estimating physical properties (system identification) through visual observations. To facilitate geometry-aware guidance in physical property est…
Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decomposition
Yisheng He, Weihao Yuan, Siyu Zhu +3
This paper enables high-fidelity, transferable NeRF editing by frequency decomposition. Recent NeRF editing pipelines lift 2D stylization results to 3D scenes while suffering from…
OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation
Junhao Cai, Yisheng He, Weihao Yuan +4
This paper studies a new open-set problem, the open-vocabulary category-level object pose and size estimation. Given human text descriptions of arbitrary novel object categories, t…
Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation
Minglin Chen, Weihao Yuan, Yukun Wang +5
Recently, text-to-3D approaches have achieved high-fidelity 3D content generation using text description. However, the generated objects are stochastic and lack fine-grained contro…