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20182026
most citedReal-time Monte Carlo Denoising with Weight Sharing Kernel Prediction Network

27 citations · 69 across the 34 of their papers we have counts for

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14 papers · 1 filter

cs.GR2026

Gaussian Stippling: Efficient Sorting-Free 3D Gaussian Rendering through Hybrid Sampling and Spatiotemporal Reconstruction

Zijian Huang, Suiliang Mai, Chuankun Zheng +2

Conventional 3D Gaussian Splatting (3DGS) requires depth sorting and ordered alpha blending to correctly render overlapping Gaussian primitives. Stochastic transparency enables sor…

cs.GR2026

Fuse3D: Generating 3D Assets Controlled by Multi-Image Fusion

Xuancheng Jin, Rengan Xie, Wenting Zheng +3

Recently, generating 3D assets with the control of condition images has achieved impressive quality. However, existing 3D generation methods are limited to handling a single contro…

cs.GR2025

DISK: Differentiable Sparse Kernel Complex for Efficient Spatially-Variant Convolution

Zhizhen Wu, Zhe Cao, Yuchi Huo

Image convolution with complex kernels is a fundamental operation in photography, scientific imaging, and animation effects, yet direct dense convolution is computationally prohibi…

cs.GR2024★ 2 cited

Neural Rendering and Its Hardware Acceleration: A Review

Xinkai Yan, Jieting Xu, Yuchi Huo +1

Neural rendering is a new image and video generation method based on deep learning. It combines the deep learning model with the physical knowledge of computer graphics, to obtain…

cs.GR2023★ 1 cited

FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion

Zhihua Zhong, Jingsen Zhu, Yuxin Dai +5

The workload of real-time rendering is steeply increasing as the demand for high resolution, high refresh rates, and high realism rises, overwhelming most graphics cards. To mitiga…

cs.GR2022

Rule-based Procedural Tree Modeling Approach

Yinhui Yang, Rui Wang, Yuchi Huo

In some entertainment and virtual reality applications, it is necessary to model and draw the real world realistically, so as to improve the fidelity of natural scenes and make use…

cs.GR2022★ 1 cited

Real-time Rendering and Editing of Scattering Effects for Translucent Objects

Rui Wang, Wei Hua, Yuchi Huo +1

The photorealistic rendering of the transparent effect of translucent objects is a hot research topic in recent years. A real-time photorealistic rendering and material dynamic edi…

cs.GR2022

A Virtual Point Light Generation Method in Close-Range Area

Shihao Jin, Rui Wang, Wenting Zheng +2

This paper proposes a new hybrid algorithm for sampling virtual point light (VPL). The indirect lighting calculation of the scene is used to distribute the VPL reasonably. In the p…

cs.GR2022★ 2 cited

Variational Hierarchical Directed Bounding Box Construction for Solid Mesh Models

Rui Wang, Wei Hua, Gaofeng Xu +2

Object oriented bounding box tree (OBB-Tree for short) has many applications in collision detection, real-time rendering, etc. It has a wide range of applications. The construction…

cs.GR2022

Sparse Sampling and Completion for Light Transport in VPL-based Rendering

Yuchi Huo, Rui Wang, Xinguo Liu +1

The many-light formulation provides a general framework for rendering various illumination effects using hundreds of thousands of virtual point lights (VPLs). To efficiently gather…

cs.GR2022

Morphological Anti-Aliasing Method for Boundary Slope Prediction

Yuchen Zhong, Yuchi Huo, Rui Wang

Image pixel aliasing caused by insufficient sampling is a long-standing problem in the field of computer graphics. It has always been the goal of researchers to seek anti-aliasing…

cs.GR2022★ 27 cited

Real-time Monte Carlo Denoising with Weight Sharing Kernel Prediction Network

Hangming Fan, Rui Wang, Yuchi Huo +1

Real-time Monte Carlo denoising aims at removing severe noise under low samples per pixel (spp) in a strict time budget. Recently, kernel-prediction methods use a neural network to…

cs.GR2022

Extension: Adaptive Sampling with Implicit Radiance Field

Yuchi Huo

This manuscript discusses the extension of adaptive light field sampling with implicit radiance fields.

cs.GR2018

Light Field Neural Network

Yuchi Huo, Sung-Eui Yoon

We introduce an optical neural network system made by off-the-shelf components. In order to test the evaluate the physical property of the proposed system, we are making a prototyp…