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École de technologie supérieure
- Canada
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00:39
(UTC -03:00) - https://profs.etsmtl.ca/agruson/
- https://orcid.org/0000-0003-0773-2725
- @BeltegeuseCG
Highlights
- Pro
Stars
Code for SIGGRAPH Asia 2024 (TOG) Paper "Efficient Image-Space Shape Splatting for Monte Carlo Rendering"
A cross-platform implementation of the SIMD framework on Swift (macOS, iOS, Linux, Windows, etc.)
Differentiable Top-k Classification Learning
Differentiable Rendering of Parametric Geometry (SIGGRAPH Asia 2023)
Getting serious about Vulkan development with this modern C++ framework, battle-tested in rapid prototyping, research, and teaching. Includes support for real-time ray tracing (RTX), serialization,…
Custom plugin in Python for BTF (Bidirectional Texture Function) rendering with Mitsuba 2
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Caldera data set from Call of Duty®: Warzone™
Official implementation of the SIGGRAPH 2024 paper "N-Dimensional Gaussians for Fitting of High Dimensional Functions"
A tiny course on differentiable rasterization. The content is best viewed on the website.
Code release for "Neural Histogram-Based Glint Rendering of Surfaces With Spatially Varying Roughness"
Used for AI model generation, next-generation Blender rendering engine, texture enhancement&generation (based on ComfyUI)
Unbiased Physically Based Differentiable Renderer
Source Code for "N-BVH: Neural ray queries with bounding volume hierarchies" (SIGGRAPH 2024)
A WebGPU demonstration of using frustum culling with render bundles through indirect instanced draw calls.
Code and resources for SIGGRAPH 2023 paper NeuSample: Importance Sampling for Neural Materials
RTXGI v2.0 Update including Neural Radiance Cache and Spatial Hash Radiance Cache
Unofficial implementation of the paper Semantic Deep Face Models by Prashanth Chandran et al. (2020)
FFHQ-UV-Intrinstics: A dataset containing intrinsic face decomposition for 10k subjects of FFHQ-UV
Official implementation of MC Denoising via Auxiliary Feature Guided Self-Attention (SIGGRAPH Asia 2021 paper)
Source code for "Revisiting controlled mixture sampling for rendering applications" SIGGRAPH 2023
Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com
High-performance automatic differentiation of LLVM and MLIR.