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| | thenumb.at
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| | [AI summary] The text provides an in-depth overview of various neural field techniques, focusing on their applications in representing images, geometry, and light fields. It discusses methods such as positional encoding, hash encoding, and neural SDFs, highlighting their advantages in terms of model size, training efficiency, and quality of representation. The text also touches on the broader implications of these techniques in fields like computer vision and real-time rendering, emphasizing their potential to revolutionize how we model and interact with digital content.
| | solid-angle.blogspot.com
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| | Programmers don't generally have reels, but we do have blogs. I've been explaining the rendering work I did on BioShock Infinite quite a b...
| | therealmjp.github.io
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| | Previous article in the series: Signal Processing Primer Computer graphics is a field that constantly deals with discrete sampling and reconstruction of signals, although you might not be aware of it yet. This article focuses on the ways in which sampling theory can be applied to some of the common tasks routinely performed in graphics and 3D rendering. Image Scaling The concepts of sampling theory can are most easily applicable to graphics in the form of image scaling.
| | morad.in
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| Foreword After my previous articles I started looking for another game to dive into and I ran into the demo version of Shadows of the Tomb Raider. I thought the rendering of this game is probably already really interesting but with the recent patch to enable raytraced shadows it made it an even better target. [...]