(no title)
jms55 | 6 months ago
Neural nets are great for replacing manually-written heuristics or complex function approximations, and 3d rendering is _full_ of these heuristics. Texture compression, light sampling, image denoising/upscaling/antialiasing, etc.
Actual "generative" API in graphics is pretty rare, at least currently. That's more of an artist thing. But there's a lot of really great use cases for small neural networks (think 3-layer MLPs, absolutely nowhere near LLM-levels of size) to approximate expensive or manually-tuned heuristics in existing rendering pipeline, and it just so happens that the GPUs used for rendering also now come with dedicated NPU accelerator things.
No comments yet.