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All-optical image denoising using a diffractive visual processor
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 …
from input images. In general, digital image denoising algorithms, executed on computers …
Vertex block descent
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 …
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.
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 …
computer animation, film production, video games, etc. Compared with other rendering …
Temporally stable real-time joint neural denoising and supersampling
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 …
traced soft shadows, glossy reflections, and diffuse global illumination are now common …
Active exploration for neural global illumination of variable scenes
Neural rendering algorithms introduce a fundamentally new approach for photorealistic
rendering, typically by learning a neural representation of illumination on large numbers of …
rendering, typically by learning a neural representation of illumination on large numbers of …
Neural partitioning pyramids for denoising monte carlo renderings
Recent advancements in hardware-accelerated raytracing made it possible to achieve
interactive framerates even for algorithms previously considered offline, such as path …
interactive framerates even for algorithms previously considered offline, such as path …
Neural precomputed radiance transfer
Recent advances in neural rendering indicate immense promise for architectures that learn
light transport, allowing efficient rendering of global illumination effects once such methods …
light transport, allowing efficient rendering of global illumination effects once such methods …
Self-supervised post-correction for Monte Carlo denoising
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 …
rendering. Such a denoising approach based on supervised learning is currently considered …
MCNeRF: Monte Carlo rendering and denoising for real-time NeRFs
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 …
photorealistic results, but is inherently slow because it evaluates an MLP at a large number …
Vulkan-Sim: A GPU architecture simulator for ray tracing
Ray tracing can generate photorealistic images with more convincing visual effects
compared to rasterization. Recent hardware advances have enabled ray tracing to be …
compared to rasterization. Recent hardware advances have enabled ray tracing to be …