by America Ortiz | Jul 16, 2026 | Machine Learning, Video Processing, Visual Computing
Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings In this work, we introduce the ragged neighborhood attention (RaNA) operator, which extends neighborhood attention to semi-structured deep images by dynamically resolving...
by America Ortiz | May 31, 2026 | Video Processing, Visual Computing
What Is It Like to Be a Noise? An Entropy-based Gaussian Noise Regularization for Diffusion Models In this paper, we propose a Gaussianity regularizer that aligns a sample’s local statistics with a typical Gaussian realization, rather than relying on pointwise...
by America Ortiz | May 31, 2026 | Video Processing, Visual Computing
RenderFlow: Single-Step Neural Rendering via Flow Matching In this paper, we propose a novel, end-to-end, deterministic, single-step neural rendering framework, RenderFlow, built upon a flow matching paradigm. To further strengthen both rendering quality and...
by America Ortiz | May 31, 2026 | Video Processing, Visual Computing
Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation In this paper, we propose an algorithm for both memory and compute-efficient implementation of the all-pairs correlation volume sampling, still matching the exact mathematical operator as...
by America Ortiz | May 31, 2026 | Video Processing, Visual Computing
Guardians of the Hair: Rescuing Soft Boundaries in Depth, Stereo, and Novel Views In this paper, we propose a novel data curation pipeline that leverages image matting datasets for training and design a depth fixer network to automatically identify soft boundary...
