no code implementations • 3 Jan 2023 • Boyu Zhang, Hongliang Yuan, Mingyan Zhu, Ligang Liu, Jue Wang
Generating high-quality, realistic rendering images for real-time applications generally requires tracing a few samples-per-pixel (spp) and using deep learning-based approaches to denoise the resulting low-spp images.
no code implementations • 16 Aug 2021 • Xinyue Wei, HaoZhi Huang, Yujin Shi, Hongliang Yuan, Li Shen, Jue Wang
We show in this work that Monte Carlo path tracing can be further accelerated by joint super-resolution and denoising (SRD) in post-processing.
no code implementations • 3 Jun 2021 • Tiange Xiang, Chaoyi Zhang, Yang song, SiQi Liu, Hongliang Yuan, Weidong Cai
This add-on graph regularizes the network during training and can be completely skipped during inference.
no code implementations • 30 Mar 2021 • Tiange Xiang, Hongliang Yuan, HaoZhi Huang, Yujin Shi
Monte Carlo path tracer renders noisy image sequences at low sampling counts.