research
∙
08/21/2023
CamP: Camera Preconditioning for Neural Radiance Fields
Neural Radiance Fields (NeRF) can be optimized to obtain high-fidelity 3...
share
research
∙
05/25/2023
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
Decomposing an object's appearance into representations of its materials...
research
∙
04/13/2023
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Neural Radiance Field training can be accelerated through the use of gri...
research
∙
03/23/2023
DreamBooth3D: Subject-Driven Text-to-3D Generation
We present DreamBooth3D, an approach to personalize text-to-3D generativ...
research
∙
02/28/2023
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
We present a method for reconstructing high-quality meshes of large unbo...
research
∙
02/23/2023
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
Neural radiance fields enable state-of-the-art photorealistic view synth...
research
∙
11/17/2022
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training
Neural Radiance Fields (NeRFs) are a powerful representation for modelin...
research
∙
09/29/2022
DreamFusion: Text-to-3D using 2D Diffusion
Recent breakthroughs in text-to-image synthesis have been driven by diff...
research
∙
08/29/2022
Volume Rendering Digest (for NeRF)
Neural Radiance Fields employ simple volume rendering as a way to overco...
research
∙
02/10/2022
Block-NeRF: Scalable Large Scene Neural View Synthesis
We present Block-NeRF, a variant of Neural Radiance Fields that can repr...
research
∙
01/02/2022
Fast and High-Quality Image Denoising via Malleable Convolutions
Many image processing networks apply a single set of static convolutiona...
research
∙
12/07/2021
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields
Neural Radiance Fields (NeRF) is a popular view synthesis technique that...
research
∙
12/06/2021
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Neural radiance fields (NeRF) encode a scene into a neural representatio...
research
∙
12/02/2021
Zero-Shot Text-Guided Object Generation with Dream Fields
We combine neural rendering with multi-modal image and text representati...
research
∙
12/01/2021
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
Neural Radiance Fields (NeRF) have emerged as a powerful representation ...
research
∙
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...
research
∙
11/23/2021
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Though neural radiance fields (NeRF) have demonstrated impressive view s...
research
∙
03/26/2021
Baking Neural Radiance Fields for Real-Time View Synthesis
Neural volumetric representations such as Neural Radiance Fields (NeRF) ...
research
∙
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 ...
research
∙
12/07/2020
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
We present a method that takes as input a set of images of a scene illum...
research
∙
12/03/2020
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Coordinate-based neural representations have shown significant promise a...
research
∙
08/09/2020
Neural Reflectance Fields for Appearance Acquisition
We present Neural Reflectance Fields, a novel deep scene representation ...
research
∙
08/04/2020
Deep Multi Depth Panoramas for View Synthesis
We propose a learning-based approach for novel view synthesis for multi-...
research
∙
06/18/2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
We show that passing input points through a simple Fourier feature mappi...
research
∙
03/19/2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
We present a method that achieves state-of-the-art results for synthesiz...
research
∙
03/18/2020
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
We present a deep learning solution for estimating the incident illumina...
research
∙
05/02/2019
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
We present a practical and robust deep learning solution for capturing a...
research
∙
04/10/2019
StegaStamp: Invisible Hyperlinks in Physical Photographs
Imagine a world in which each photo, printed or digitally displayed, hid...
research
∙
11/27/2018
Unprocessing Images for Learned Raw Denoising
Machine learning techniques work best when the data used for training re...
research
∙
12/06/2017
Burst Denoising with Kernel Prediction Networks
We present a technique for jointly denoising bursts of images taken from...
research
∙
10/05/2017