paper-conference

MARBLE: Material Recomposition and Blending in CLIP-Space
Editing materials of objects in images based on exemplar images is an active area of research in computer vision and graphics. We …
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MARBLE: Material Recomposition and Blending in CLIP-Space
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
We study the problem of single-image 3D object reconstruction. Recent works have diverged into two directions: regression-based …
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SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
We present SF3D, a novel method for rapid and high-quality textured mesh reconstruction from a single image. Utilizing the Large …
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SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
We present Stable Video 3D (SV3D) - a latent video diffusion model for high-resolution, image-to-multi-view generation of orbital …
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SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
Collaborative Control for Geometry-Conditioned PBR Image Generation
Current 3D content generation builds on generative models that output RGB images. Modern graphics pipelines, however, require …
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Collaborative Control for Geometry-Conditioned PBR Image Generation
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
We present SHINOBI, an end-to-end framework for the reconstruction of shape, material, and illumination from object images captured …
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SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Inverse rendering of an object under entirely unknown capture conditions is a fundamental challenge in computer vision and graphics. …
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SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Decomposing a scene into its shape, reflectance and illumination is a fundamental problem in computer vision and graphics. Neural …
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Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
NeRD: Neural Reflectance Decomposition from Image Collections
Decomposing a scene into its shape, reflectance, and illumination is a challenging but important problem in computer vision and …
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NeRD: Neural Reflectance Decomposition from Image Collections
Two-shot Spatially-varying BRDF and Shape Estimation
Capturing the shape and spatially-varying appearance (SVBRDF) of an object from images is a challenging task that has applications in …
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Two-shot Spatially-varying BRDF and Shape Estimation