5 citations · 18 across the 10 of their papers we have counts for
10 papers
Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration
Zhihao Liang, Qi Zhang, Wenbo Hu +3
The 3D Gaussian Splatting (3DGS) gained its popularity recently by combining the advantages of both primitive-based and volumetric 3D representations, resulting in improved quality…
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation
Xin Huang, Ruizhi Shao, Qi Zhang +4
Recent text-to-3D methods employing diffusion models have made significant advancements in 3D human generation. However, these approaches face challenges due to the limitations of…
GS-IR: 3D Gaussian Splatting for Inverse Rendering
Zhihao Liang, Qi Zhang, Ying Feng +2
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 synthe…
Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail
Yiyu Zhuang, Qi Zhang, Ying Feng +6
We present LoD-NeuS, an efficient neural representation for high-frequency geometry detail recovery and anti-aliased novel view rendering. Drawing inspiration from voxel-based repr…
Inverting the Imaging Process by Learning an Implicit Camera Model
Xin Huang, Qi Zhang, Ying Feng +2
Representing visual signals with implicit coordinate-based neural networks, as an effective replacement of the traditional discrete signal representation, has gained considerable p…
Local Implicit Ray Function for Generalizable Radiance Field Representation
Xin Huang, Qi Zhang, Ying Feng +3
We propose LIRF (Local Implicit Ray Function), a generalizable neural rendering approach for novel view rendering. Current generalizable neural radiance fields (NeRF) methods sampl…
NeAI: A Pre-convoluted Representation for Plug-and-Play Neural Ambient Illumination
Yiyu Zhuang, Qi Zhang, Xuan Wang +5
Recent advances in implicit neural representation have demonstrated the ability to recover detailed geometry and material from multi-view images. However, the use of simplified lig…
Stereo Unstructured Magnification: Multiple Homography Image for View Synthesis
Qi Zhang, Xin Huang, Ying Feng +3
This paper studies the problem of view synthesis with certain amount of rotations from a pair of images, what we called stereo unstructured magnification. While the multi-plane ima…
Hallucinated Neural Radiance Fields in the Wild
Xingyu Chen, Qi Zhang, Xiaoyu Li +4
Neural Radiance Fields (NeRF) has recently gained popularity for its impressive novel view synthesis ability. This paper studies the problem of hallucinated NeRF: i.e., recovering…
HDR-NeRF: High Dynamic Range Neural Radiance Fields
Xin Huang, Qi Zhang, Ying Feng +3
We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recover an HDR radiance field from a set of low dynamic range (LDR) views with different exposures. Using the HDR…