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08/21/2023
CamP: Camera Preconditioning for Neural Radiance Fields
Neural Radiance Fields (NeRF) can be optimized to obtain high-fidelity 3...
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06/15/2023
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Recent advances in neural reconstruction enable high-quality 3D object r...
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03/23/2023
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
Neural radiance fields (NeRFs) have enabled high fidelity 3D reconstruct...
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03/22/2023
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals
Finding localized correspondences across different images of the same ob...
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10/06/2022
Novel View Synthesis with Diffusion Models
We present 3DiM, a diffusion model for 3D novel view synthesis, which is...
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11/26/2021
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
Neural Radiance Fields (NeRF) is a technique for high quality novel view...
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06/24/2021
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
Neural Radiance Fields (NeRF) are able to reconstruct scenes with unprec...
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04/17/2021
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling
We investigate the use of Neural Radiance Fields (NeRF) to learn high qu...
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04/09/2021
Neural RGB-D Surface Reconstruction
In this work, we explore how to leverage the success of implicit novel v...
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03/24/2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
The rendering procedure used by neural radiance fields (NeRF) samples a ...
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02/25/2021
IBRNet: Learning Multi-View Image-Based Rendering
We present a method that synthesizes novel views of complex scenes by in...
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02/17/2021
ShaRF: Shape-conditioned Radiance Fields from a Single View
We present a method for estimating neural scenes representations of obje...
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12/22/2020
Time-Travel Rephotography
Many historical people are captured only in old, faded, black and white ...
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12/19/2020
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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11/25/2020
Deformable Neural Radiance Fields
We present the first method capable of photorealistically reconstructing...
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08/11/2020
GeLaTO: Generative Latent Textured Objects
Accurate modeling of 3D objects exhibiting transparency, reflections and...
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08/05/2020
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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04/08/2020
State of the Art on Neural Rendering
Efficient rendering of photo-realistic virtual worlds is a long standing...
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08/21/2019
KeystoneDepth: Visualizing History in 3D
This paper introduces the largest and most diverse collection of rectifi...
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05/29/2019
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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04/08/2019
Neural Rerendering in the Wild
We explore total scene capture -- recording, modeling, and rerendering a...
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11/12/2018
LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering
Motivated by augmented and virtual reality applications such as telepres...
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11/10/2015
