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09/12/2023
Efficient Graphics Representation with Differentiable Indirection
We introduce differentiable indirection – a novel learned primitive that...
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05/07/2023
Spatiotemporally Consistent HDR Indoor Lighting Estimation
We propose a physically-motivated deep learning framework to solve a gen...
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07/02/2022
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes
Most indoor 3D scene reconstruction methods focus on recovering 3D geome...
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06/26/2022
Learning to Rearrange with Physics-Inspired Risk Awareness
Real-world applications require a robot operating in the physical world ...
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06/16/2022
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes
Indoor scenes exhibit significant appearance variations due to myriad in...
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05/19/2022
Physically-Based Editing of Indoor Scene Lighting from a Single Image
We present a method to edit complex indoor lighting from a single image ...
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10/25/2021
Learning Neural Transmittance for Efficient Rendering of Reflectance Fields
Recently neural volumetric representations such as neural reflectance fi...
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07/25/2020
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets
Large-scale photorealistic datasets of indoor scenes, with ground truth ...
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04/22/2020
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
Recovering the 3D shape of transparent objects using a small number of u...
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05/07/2019
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image
We propose a deep inverse rendering framework for indoor scenes. From a ...
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04/16/2018