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Found 5 papers, 3 papers with code
GaNI: Global and Near Field Illumination Aware Neural Inverse Rendering
In this paper, we present GaNI, a Global and Near-field Illumination-aware neural inverse rendering technique that can reconstruct geometry, albedo, and roughness parameters from images of a scene captured with co-located light and camera.
OmnimatteRF: Robust Omnimatte with 3D Background Modeling
Video matting has broad applications, from adding interesting effects to casually captured movies to assisting video production professionals.
Inverse Global Illumination using a Neural Radiometric Prior
We train our radiance network and optimize scene parameters simultaneously using a loss consisting of both a photometric term between renderings and the multi-view input images, and our radiometric prior (the residual term).
Learning Generative Models using Denoising Density Estimators
Learning probabilistic models that can estimate the density of a given set of samples, and generate samples from that density, is one of the fundamental challenges in unsupervised machine learning.
Ranked #1 on
Density Estimation
on UCI MINIBOONE
Learning to Generate Dense Point Clouds with Textures on Multiple Categories
In this paper, we propose a novel approach for reconstructing point clouds from RGB images.
