Vertex Block Descent

AH Chen, Z Liu, Y Yang, C Yuksel - ACM Transactions on Graphics …, 2024 - dl.acm.org
We introduce vertex block descent, a block coordinate descent solution for the variational
form of implicit Euler through vertex-level Gauss-Seidel iterations. It operates with local …

Random-access neural compression of material textures

K Vaidyanathan, M Salvi, B Wronski… - arxiv preprint arxiv …, 2023 - arxiv.org
The continuous advancement of photorealism in rendering is accompanied by a growth in
texture data and, consequently, increasing storage and memory demands. To address this …

Efficient neural supersampling on a novel gaming dataset

A Mercier, R Erasmus, Y Savani… - Proceedings of the …, 2023 - openaccess.thecvf.com
Real-time rendering for video games has become increasingly challenging due to the need
for higher resolutions, framerates and photorealism. Supersampling has emerged as an …

Neural partitioning pyramids for denoising monte carlo renderings

M Balint, K Wolski, K Myszkowski, HP Seidel… - ACM SIGGRAPH 2023 …, 2023 - dl.acm.org
Recent advancements in hardware-accelerated raytracing made it possible to achieve
interactive framerates even for algorithms previously considered offline, such as path …

Inovis: Instant novel-view synthesis

M Harrer, L Franke, L Fink, M Stamminger… - SIGGRAPH Asia 2023 …, 2023 - dl.acm.org
Novel-view synthesis is an ill-posed problem in that it requires inference of previously
unseen information. Recently, reviving the traditional field of image-based rendering, neural …

Online Neural Denoising with Cross-Regression for Interactive Rendering

H Choi, S Hong, I Ha, N Kang, B Moon - ACM Transactions on Graphics …, 2024 - dl.acm.org
Generating a rendered image sequence through Monte Carlo ray tracing is an appealing
option when one aims to accurately simulate various lighting effects. Unfortunately …

Denoising-aware adaptive sampling for Monte Carlo ray tracing

A Firmino, JR Frisvad, HW Jensen - ACM SIGGRAPH 2023 Conference …, 2023 - dl.acm.org
Monte Carlo rendering is a computationally intensive task, but combined with recent deep-
learning based advances in image denoising it is possible to achieve high quality images in …

Neural foveated super‐resolution for real‐time VR rendering

J Ye, X Meng, D Guo, C Shang, H Mao… - … Animation and Virtual …, 2024 - Wiley Online Library
As virtual reality display technologies advance, resolutions and refresh rates continue to
approach human perceptual limits, presenting a challenge for real‐time rendering …

Interactive neural cascade denoising for 1-spp Monte Carlo images

Y Chen, Y Lu, X Zhang, N **e - The Visual Computer, 2023 - Springer
Monte Carlo (MC) path tracing is known for its high fidelity and heavy computational cost.
With the development of neural networks, the kernel-based post-processing method has …

Auxiliary Features‐Guided Super Resolution for Monte Carlo Rendering

Q Hou, F Liu - Computer Graphics Forum, 2024 - Wiley Online Library
This paper investigates super‐resolution to reduce the number of pixels to render and thus
speed up Monte Carlo rendering algorithms. While great progress has been made to super …