6 papers
4DLangVGGT: 4D Language-Visual Geometry Grounded Transformer
Xianfeng Wu, Yajing Bai, Minghan Li +5
Constructing 4D language fields is crucial for embodied AI, augmented/virtual reality, and 4D scene understanding, as they provide enriched semantic representations of dynamic envi…
LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization
Xianfeng Wu, Yajing Bai, Haoze Zheng +8
Recent advances in text-to-image generation have primarily relied on extensive datasets and parameter-heavy architectures. These requirements severely limit accessibility for resea…
Niagara: Normal-Integrated Geometric Affine Field for Scene Reconstruction from a Single View
Xianzu Wu, Zhenxin Ai, Harry Yang +3
Recent advances in single-view 3D scene reconstruction have highlighted the challenges in capturing fine geometric details and ensuring structural consistency, particularly in high…
3D Dynamics-Aware Manipulation: Endowing Manipulation Policies with 3D Foresight
Yuxin He, Ruihao Zhang, Xianzu Wu +3
The incorporation of world modeling into manipulation policy learning has pushed the boundary of manipulation performance. However, existing efforts simply model the 2D visual dyna…
FSC: Few-point Shape Completion
Xianzu Wu, Xianfeng Wu, Tianyu Luan +3
While previous studies have demonstrated successful 3D object shape completion with a sufficient number of points, they often fail in scenarios when a few points, e.g. tens of poin…
Completing point cloud from few points by Wasserstein GAN and Transformers
Xianfeng Wu, Jinhui Qian, Qing Wei +6
In many vision and robotics applications, it is common that the captured objects are represented by very few points. Most of the existing completion methods are designed for partia…