no code implementations • 22 Mar 2024 • Yifei Zeng, Yanqin Jiang, Siyu Zhu, Yuanxun Lu, Youtian Lin, Hao Zhu, Weiming Hu, Xun Cao, Yao Yao
Recent progress in pre-trained diffusion models and 3D generation have spurred interest in 4D content creation.
no code implementations • 14 Dec 2023 • Zexiang Liu, Yangguang Li, Youtian Lin, Xin Yu, Sida Peng, Yan-Pei Cao, Xiaojuan Qi, Xiaoshui Huang, Ding Liang, Wanli Ouyang
Recent advancements in text-to-3D generation technology have significantly advanced the conversion of textual descriptions into imaginative well-geometrical and finely textured 3D objects.
no code implementations • 6 Dec 2023 • Youtian Lin, Zuozhuo Dai, Siyu Zhu, Yao Yao
Moreover, the explicit deformation modeling for discretized Gaussian points ensures ultra-fast training and rendering of a 4D scene, which is comparable to the original 3DGS designed for static 3D reconstruction.
no code implementations • 27 Nov 2023 • Jian Gao, Chun Gu, Youtian Lin, Hao Zhu, Xun Cao, Li Zhang, Yao Yao
We present a novel differentiable point-based rendering framework for material and lighting decomposition from multi-view images, enabling editing, ray-tracing, and real-time relighting of the 3D point cloud.
1 code implementation • 14 Jan 2023 • Jian Guan, Mingjie Xie, Youtian Lin, Guangjun He, Pengming Feng
In addition, a dynamic elliptical distribution aided sampling (DED) strategy is proposed to make the sample distribution more flexible to fit the shapes and orientations of targets, and filter out low-quality samples.
no code implementations • 2 Dec 2019 • Youtian Lin, Pengming Feng, Jian Guan, Wenwu Wang, Jonathon Chambers
First, a novel geometric transformation is employed to better represent the oriented object in angle prediction, then a branch interactive module with a self-attention mechanism is developed to fuse features from classification and box regression branches.