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20222024
most citedAnti-Aliased Neural Implicit Surfaces with Encoding Level of Detail

3 citations · 6 across the 6 of their papers we have counts for

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8 papers · 1 filter

cs.CV20241 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV20233 cited

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…

cs.CV2023

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…

cs.CV20232 cited

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…