Search Results for author: Adrien Bousseau

Found 5 papers, 3 papers with code

Guided Fine-Tuning for Large-Scale Material Transfer

1 code implementation6 Jul 2020 Valentin Deschaintre, George Drettakis, Adrien Bousseau

Our solution is extremely simple: we fine-tune a deep appearance-capture network on the provided exemplars, such that it learns to extract similar SVBRDF values from the target image.

Flexible SVBRDF Capture with a Multi-Image Deep Network

1 code implementation27 Jun 2019 Valentin Deschaintre, Miika Aittala, Fredo Durand, George Drettakis, Adrien Bousseau

Empowered by deep learning, recent methods for material capture can estimate a spatially-varying reflectance from a single photograph.

Graphics I.3

Single-Image SVBRDF Capture with a Rendering-Aware Deep Network

1 code implementation23 Oct 2018 Valentin Deschaintre, Miika Aittala, Fredo Durand, George Drettakis, Adrien Bousseau

Texture, highlights, and shading are some of many visual cues that allow humans to perceive material appearance in single pictures.

Graphics I.3

3D Sketching using Multi-View Deep Volumetric Prediction

no code implementations26 Jul 2017 Johanna Delanoy, Mathieu Aubry, Phillip Isola, Alexei A. Efros, Adrien Bousseau

The main strengths of our approach are its robustness to freehand bitmap drawings, its ability to adapt to different object categories, and the continuum it offers between single-view and multi-view sketch-based modeling.

3D Reconstruction

Line Drawing Interpretation in a Multi-View Context

no code implementations CVPR 2015 Jean-Dominique Favreau, Florent Lafarge, Adrien Bousseau

Many design tasks involve the creation of new objects in the context of an existing scene.

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