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IBRNet: Learning Multi-View Image-Based Rendering
We present a method that synthesizes novel views of complex scenes by in...
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ShaRF: Shape-conditioned Radiance Fields from a Single View
We present a method for estimating neural scenes representations of obje...
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Time-Travel Rephotography
Many historical people are captured only in old, faded, black and white ...
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No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry
Removing objects from images is a challenging problem that is important ...
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Deformable Neural Radiance Fields
We present the first method capable of photorealistically reconstructing...
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GeLaTO: Generative Latent Textured Objects
Accurate modeling of 3D objects exhibiting transparency, reflections and...
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
We present a learning-based method for synthesizing novel views of compl...
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State of the Art on Neural Rendering
Efficient rendering of photo-realistic virtual worlds is a long standing...
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KeystoneDepth: Visualizing History in 3D
This paper introduces the largest and most diverse collection of rectifi...
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Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning
Volumetric (4D) performance capture is fundamental for AR/VR content gen...
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Neural Rerendering in the Wild
We explore total scene capture -- recording, modeling, and rerendering a...
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LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering
Motivated by augmented and virtual reality applications such as telepres...
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3D Time-lapse Reconstruction from Internet Photos
Given an Internet photo collection of a landmark, we compute a 3D time-l...
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