Denoising News
The latest Denoising coverage curated for game developers.
arXiv cs.GR details a neural denoiser for stochastic Gaussian splatting that keeps the sort-free, blend-free rendering path while cleaning up the added noise. The method targets stable free-camera navigation, and …
A new ray-tracing technique reuses first-hit occlusion points to improve ambient occlusion and soft shadows under tight real-time budgets. By moving reuse into the occluder domain and pairing samples with …
Disney Research Studios has introduced RaNA, a ragged neighborhood attention operator for denoising deep Monte Carlo renders. The method powers RaNAD, the first spatiotemporal neural denoiser for deep images, and …
The introduction of UGD, an unsupervised geometric distance metric, marks a significant advancement in point cloud denoising. This method allows developers to evaluate noisy point clouds without needing ground-truth data, …
The introduction of a nonlinear approach to Noise2Noise training could significantly enhance Monte Carlo denoiser efficiency. This advancement is particularly relevant for graphics programmers and artists working with HDR images, …