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Found 5 papers, 0 papers with code
Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors
We present Buffer Anytime, a framework for estimation of depth and normal maps (which we call geometric buffers) from video that eliminates the need for paired video--depth and video--normal training data.
RelitLRM: Generative Relightable Radiance for Large Reconstruction Models
We propose RelitLRM, a Large Reconstruction Model (LRM) for generating high-quality Gaussian splatting representations of 3D objects under novel illuminations from sparse (4-8) posed images captured under unknown static lighting.
TexSliders: Diffusion-Based Texture Editing in CLIP Space
Generative models have enabled intuitive image creation and manipulation using natural language.
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
Finally, we demonstrate that our framework may also be integrated with physics engines, to create virtual robotics environments with unique ground truth such as friction coefficients and correspondence to real scenes.
A Bayesian Inference Framework for Procedural Material Parameter Estimation
Procedural material models have been gaining traction in many applications thanks to their flexibility, compactness, and easy editability.
