- the paper presents how using HDR and 3D scan data, it’s possible to reconstruct the material BRDF parameters
- shows how to estimate the diffuse lighting, surface albedo and use this information to treat it as an optimization problem to match the original image
- the tutorial covers a walkthrough of a foliage shader in Unity
- covering double-sided materials, translucency, normal adjustments for more natural diffuse shading, and wind deformations
- the in-depth video tutorial explains how to render a circle using shadertoy
- explains the required math and implementation in shader code
- the blog introduces the topic of shader permutations and why they end up being common issues
- discussing not only the compilation side but also runtime implications
- additionally presents a list of questions that a programmer might ask when creating a new shader permutation
- the article dives deeper into the issues related to shader permutations
- covering several possible solutions, discussing the tradeoffs of the different methods presented
- additionally presented a brief look at the future with callable shaders or function pointers
- closes with an overview table of the different methods, advantages/disadvantages, and what platform it’s supported on
- collection of Neural Radiance Field papers that will be presented at Intl. Conf. on Computer Vision
- starts with a brief summary of what Neural Radiance Fields are
- includes a small single sentence summary for the content of papers for each
- frame breakdown of a single frame from the game control (as video and text)
- covering shadow rendering, ray tracing passes
- denoising, tech art passes, as well as Deep Learning Super Sampling (DLSS)
- Twitter thread asking for GPU architecture information
- the replies are full of fantastic resources
- the article shows how recent versions of DXC can link DXIL shaders for all shader stages
- presents the API as well as discusses existing restrictions
- interview with Nick Thibieroz, Director of Game Engineering at AMD
- discussing AMD FSR objectives, design considerations, the impact of Machine Learning
- additionally provides a few pointers at what different engine integrations could be considered
Thanks to Keith O’Conor for support of this series.
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