1 code implementation • 26 Mar 2024 • Ying Feng, Adittyo Paul, Zhe Chen, Jiaoyang Li
One area of research in multi-agent path finding is to determine how replanning can be efficiently achieved in the case of agents being delayed during execution.
no code implementations • 17 Mar 2024 • Zhihao Liang, Qi Zhang, WenBo Hu, Ying Feng, Lei Zhu, Kui Jia
This is because 3DGS treats each pixel as an isolated, single point rather than as an area, causing insensitivity to changes in the footprints of pixels.
1 code implementation • 26 Nov 2023 • Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, Kui Jia
We propose GS-IR, a novel inverse rendering approach based on 3D Gaussian Splatting (GS) that leverages forward mapping volume rendering to achieve photorealistic novel view synthesis and relighting results.
no code implementations • 2 Oct 2023 • Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wang
The main idea is to enhance the model's 2D perception of 3D geometry by learning a normal-adapted diffusion model and a normal-aligned diffusion model.
no code implementations • 19 Sep 2023 • Yiyu Zhuang, Qi Zhang, Ying Feng, Hao Zhu, Yao Yao, Xiaoyu Li, Yan-Pei Cao, Ying Shan, Xun Cao
Drawing inspiration from voxel-based representations with the level of detail (LoD), we introduce a multi-scale tri-plane-based scene representation that is capable of capturing the LoD of the signed distance function (SDF) and the space radiance.
no code implementations • CVPR 2023 • Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang
To solve this problem, we propose LIRF to aggregate the information from conical frustums to construct a ray.
no code implementations • CVPR 2023 • Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Qing Wang
In principle, our new implicit neural camera model has the potential to benefit a wide array of other inverse imaging tasks.
no code implementations • 18 Apr 2023 • Yiyu Zhuang, Qi Zhang, Xuan Wang, Hao Zhu, Ying Feng, Xiaoyu Li, Ying Shan, Xun Cao
Recent advances in implicit neural representation have demonstrated the ability to recover detailed geometry and material from multi-view images.
1 code implementation • 29 Nov 2022 • Nihang Fu, Jeffrey Hu, Ying Feng, Gregory Morrison, Hans-Conrad zur Loye, Jianjun Hu
This work proposes a novel deep learning based BERT transformer language model BERTOS for predicting the oxidation states of all elements of inorganic compounds given only their chemical composition.
no code implementations • 1 Apr 2022 • Qi Zhang, Xin Huang, Ying Feng, Xue Wang, Hongdong Li, Qing Wang
A two-stage network is developed for novel view synthesis.
no code implementations • CVPR 2022 • Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, Jue Wang
This paper studies the problem of hallucinated NeRF: i. e., recovering a realistic NeRF at a different time of day from a group of tourism images.
no code implementations • CVPR 2022 • Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
The key to our method is to model the physical imaging process, which dictates that the radiance of a scene point transforms to a pixel value in the LDR image with two implicit functions: a radiance field and a tone mapper.
no code implementations • 14 Jan 2020 • Shi Zhao, Ying Feng
This paper presents a time series forecasting framework which combines standard forecasting methods and a machine learning model.