27 citations · 41 across the 7 of their papers we have counts for
7 papers
Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing
Jingsen Zhu, Fujun Luan, Yuchi Huo +7
Indoor scenes typically exhibit complex, spatially-varying appearance from global illumination, making inverse rendering a challenging ill-posed problem. This work presents an end-…
Normal and Visibility Estimation of Human Face from a Single Image
Fuzhi Zhong, Rui Wang, Yuchi Huo +1
Recent work on the intrinsic image of humans starts to consider the visibility of incident illumination and encodes the light transfer function by spherical harmonics. In this pape…
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…
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…
MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
Haocheng Ren, Hao Zhang, Jia Zheng +5
With the rapid development of data-driven techniques, data has played an essential role in various computer vision tasks. Many realistic and synthetic datasets have been proposed t…
Color Contrast Enhanced Rendering for Optical See-through Head-mounted Displays
Yunjin Zhang, Rui Wang, Yifan +3
Most commercially available optical see-through head-mounted displays (OST-HMDs) utilize optical combiners to simultaneously visualize the physical background and virtual objects.…
On-the-Fly Power-Aware Rendering
Yunjin Zhang, Marta Ortin, Victor Arellano +3
Power saving is a prevailing concern in desktop computers and, especially, in battery-powered devices such as mobile phones. This is generating a growing demand for power-aware gra…