Jonathan T. Barron

research

∙ 08/21/2023

CamP: Camera Preconditioning for Neural Radiance Fields

Neural Radiance Fields (NeRF) can be optimized to obtain high-fidelity 3...

0 Keunhong Park, et al. ∙

research

∙ 05/25/2023

Eclipse: Disambiguating Illumination and Materials using Unintended Shadows

Decomposing an object's appearance into representations of its materials...

0 Dor Verbin, et al. ∙

research

∙ 04/27/2023

Learning a Diffusion Prior for NeRFs

Neural Radiance Fields (NeRFs) have emerged as a powerful neural 3D repr...

0 Guandao Yang, et al. ∙

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...

0 Jonathan T. Barron, et al. ∙

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...

4 Lior Yariv, et al. ∙

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...

0 Christian Reiser, et al. ∙

research

∙ 02/09/2023

Polynomial Neural Fields for Subband Decomposition and Manipulation

Neural fields have emerged as a new paradigm for representing signals, t...

3 Guandao Yang, et al. ∙

research

∙ 12/12/2022

MIRA: Mental Imagery for Robotic Affordances

Humans form mental images of 3D scenes to support counterfactual imagina...

0 Lin Yen-Chen, et al. ∙

research

∙ 11/17/2022

AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training

Neural Radiance Fields (NeRFs) are a powerful representation for modelin...

0 Yifan Jiang, et al. ∙

research

∙ 09/29/2022

DreamFusion: Text-to-3D using 2D Diffusion

Recent breakthroughs in text-to-image synthesis have been driven by diff...

16 Ben Poole, et al. ∙

research

∙ 05/31/2022

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections

Inverse rendering of an object under entirely unknown capture conditions...

10 Mark Boss, et al. ∙

research

∙ 03/03/2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields

Thin, reflective objects such as forks and whisks are common in our dail...

8 Lin Yen-Chen, et al. ∙

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...

0 Matthew Tancik, et al. ∙

research

∙ 01/11/2022

HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video

We introduce a free-viewpoint rendering method – HumanNeRF – that works ...

17 Chung-Yi Weng, et al. ∙

research

∙ 12/22/2021

Squareplus: A Softplus-Like Algebraic Rectifier

We present squareplus, an activation function that resembles softplus, b...

0 Jonathan T. Barron, et al. ∙

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...

0 Dor Verbin, et al. ∙

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...

0 Barbara Roessle, et al. ∙

research

∙ 12/02/2021

Zero-Shot Text-Guided Object Generation with Dream Fields

We combine neural rendering with multi-modal image and text representati...

0 Ajay Jain, et al. ∙

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 ...

0 Michael Niemeyer, et al. ∙

research

∙ 11/29/2021

Urban Radiance Fields

The goal of this work is to perform 3D reconstruction and novel view syn...

0 Konstantinos Rematas, et al. ∙

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...

0 Ben Mildenhall, et al. ∙

research

∙ 11/23/2021

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Though neural radiance fields (NeRF) have demonstrated impressive view s...

7 Jonathan T. Barron, et al. ∙

research

∙ 10/27/2021

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition

Decomposing a scene into its shape, reflectance and illumination is a fu...

0 Mark Boss, et al. ∙

research

∙ 10/12/2021

Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image

We present a method that takes as input a single dual-pixel image, and s...

0 Shumian Xin, et al. ∙

research

∙ 09/10/2021

Scalable Font Reconstruction with Dual Latent Manifolds

We propose a deep generative model that performs typography analysis and...

0 Nikita Srivatsan, et al. ∙

research

∙ 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...

23 Keunhong Park, et al. ∙

research

∙ 06/03/2021

NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination

We address the problem of recovering the shape and spatially-varying ref...

13 Xiuming Zhang, et al. ∙

research

∙ 03/26/2021

Baking Neural Radiance Fields for Real-Time View Synthesis

Neural volumetric representations such as Neural Radiance Fields (NeRF) ...

6 Peter Hedman, et al. ∙

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 ...

0 Jonathan T. Barron, et al. ∙

research

∙ 02/25/2021

IBRNet: Learning Multi-View Image-Based Rendering

We present a method that synthesizes novel views of complex scenes by in...

0 Qianqian Wang, et al. ∙

research

∙ 12/10/2020

iNeRF: Inverting Neural Radiance Fields for Pose Estimation

We present iNeRF, a framework that performs pose estimation by "invertin...

0 Lin Yen-Chen, et al. ∙

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...

0 Pratul P. Srinivasan, et al. ∙

research

∙ 12/07/2020

NeRD: Neural Reflectance Decomposition from Image Collections

Decomposing a scene into its shape, reflectance, and illumination is a c...

0 Mark Boss, et al. ∙

research

∙ 12/03/2020

Learned Initializations for Optimizing Coordinate-Based Neural Representations

Coordinate-based neural representations have shown significant promise a...

4 Matthew Tancik, et al. ∙

research

∙ 11/25/2020

Deformable Neural Radiance Fields

We present the first method capable of photorealistically reconstructing...

22 Keunhong Park, et al. ∙

research

∙ 11/25/2020

Single-Image Lens Flare Removal

Lens flare is a common artifact in photographs occurring when the camera...

1 Yicheng Wu, et al. ∙

research

∙ 11/24/2020

Cross-Camera Convolutional Color Constancy

We present "Cross-Camera Convolutional Color Constancy" (C5), a learning...

0 Mahmoud Afifi, et al. ∙

research

∙ 10/17/2020

Light Stage Super-Resolution: Continuous High-Frequency Relighting

The light stage has been widely used in computer graphics for the past t...

3 Tiancheng Sun, et al. ∙

research

∙ 10/17/2020

A Convenient Generalization of Schlick's Bias and Gain Functions

We present a generalization of Schlick's bias and gain functions – simpl...

0 Jonathan T. Barron, et al. ∙

research

∙ 10/07/2020

Shape, Illumination, and Reflectance from Shading

A fundamental problem in computer vision is that of inferring the intrin...

0 Jonathan T. Barron, et al. ∙

research

∙ 10/01/2020

Learned Dual-View Reflection Removal

Traditional reflection removal algorithms either use a single image as i...

5 Simon Niklaus, et al. ∙

research

∙ 08/09/2020

Neural Light Transport for Relighting and View Synthesis

The light transport (LT) of a scene describes how it appears under diffe...

11 Xiuming Zhang, et al. ∙

research

∙ 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...

0 Ricardo Martin-Brualla, et al. ∙

research

∙ 07/14/2020

A Generalization of Otsu's Method and Minimum Error Thresholding

We present Generalized Histogram Thresholding (GHT), a simple, fast, and...

0 Jonathan T. Barron, et al. ∙

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...

24 Matthew Tancik, et al. ∙

research

∙ 06/15/2020

Sky Optimization: Semantically aware image processing of skies in low-light photography

The sky is a major component of the appearance of a photograph, and its ...

0 Orly Liba, et al. ∙

research

∙ 06/08/2020

What Matters in Unsupervised Optical Flow

We systematically compare and analyze a set of key components in unsuper...

7 Rico Jonschkowski, et al. ∙

research

∙ 05/18/2020

Portrait Shadow Manipulation

Casually-taken portrait photographs often suffer from unflattering light...

13 Xuaner Cecilia Zhang, et al. ∙

research

∙ 04/26/2020

Learning to Autofocus

Autofocus is an important task for digital cameras, yet current approach...

1 Charles Herrmann, et al. ∙

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...

4 Ben Mildenhall, et al. ∙

Jonathan T. Barron

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