Photorealism for Enhanced Reality

Graphics-based 3D vision and physically-motivated learning for photorealistic digital twins and content creation in mixed reality.

Research Home

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Augmented reality: Full 3D scene relighting, object insertion and material editing with a single image or video as input.

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Inverse rendering: Estimation of shape, material and lighting in indoor scenes with complex light transport.

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3D reconstruction: Implicit-explicit representations with complex topology (neural implicit evolution, neural mesh flow, topological derivatives).

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Photorealistic digital twins: Automated 3D content creation from videos with high-quality appearance, shape, material and lighting.

Complex light transport: Physically-motivated estimation of shape, material and lighting with complex global interactions.

Applications: Inverse rendering and 3D content generation applied to use-cases across indoor scenes, robotics, faces and view synthesis.