All-optical image denoising using a diffractive visual processor

Ç Işıl, T Gan, FO Ardic, K Mentesoglu, J Digani… - Light: Science & …, 2024 - nature.com
Image denoising, one of the essential inverse problems, targets to remove noise/artifacts
from input images. In general, digital image denoising algorithms, executed on computers …

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 …

[PDF][PDF] Monte Carlo denoising via auxiliary feature guided self-attention.

J Yu, Y Nie, C Long, W Xu, Q Zhang, G Li - ACM Trans. Graph., 2021 - academia.edu
Monte Carlo (MC) path tracing is a popular realistic rendering technique widely used in
computer animation, film production, video games, etc. Compared with other rendering …

Temporally stable real-time joint neural denoising and supersampling

MM Thomas, G Liktor, C Peters, S Kim… - Proceedings of the …, 2022 - dl.acm.org
Recent advances in ray tracing hardware bring real-time path tracing into reach, and ray
traced soft shadows, glossy reflections, and diffuse global illumination are now common …

Active exploration for neural global illumination of variable scenes

S Diolatzis, J Philip, G Drettakis - ACM Transactions on Graphics (TOG), 2022 - dl.acm.org
Neural rendering algorithms introduce a fundamentally new approach for photorealistic
rendering, typically by learning a neural representation of illumination on large numbers of …

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 …

Neural precomputed radiance transfer

G Rainer, A Bousseau, T Ritschel… - Computer graphics …, 2022 - Wiley Online Library
Recent advances in neural rendering indicate immense promise for architectures that learn
light transport, allowing efficient rendering of global illumination effects once such methods …

Self-supervised post-correction for Monte Carlo denoising

J Back, BS Hua, T Hachisuka, B Moon - ACM SIGGRAPH 2022 …, 2022 - dl.acm.org
Using a network trained by a large dataset is becoming popular for denoising Monte Carlo
rendering. Such a denoising approach based on supervised learning is currently considered …

MCNeRF: Monte Carlo rendering and denoising for real-time NeRFs

K Gupta, M Hasan, Z Xu, F Luan, K Sunkavalli… - SIGGRAPH Asia 2023 …, 2023 - dl.acm.org
The volume rendering step used in Neural Radiance Fields (NeRFs) produces highly
photorealistic results, but is inherently slow because it evaluates an MLP at a large number …

Vulkan-Sim: A GPU architecture simulator for ray tracing

M Saed, YH Chou, L Liu, T Nowicki… - 2022 55th IEEE/ACM …, 2022 - ieeexplore.ieee.org
Ray tracing can generate photorealistic images with more convincing visual effects
compared to rasterization. Recent hardware advances have enabled ray tracing to be …