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09/14/2023
Generative Image Dynamics
We present an approach to modeling an image-space prior on scene dynamic...
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09/05/2023
Doppelgangers: Learning to Disambiguate Images of Similar Structures
We consider the visual disambiguation task of determining whether a pair...
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06/13/2023
Neural Scene Chronology
In this work, we aim to reconstruct a time-varying 3D model, capable of ...
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06/08/2023
Tracking Everything Everywhere All at Once
We present a new test-time optimization method for estimating dense and ...
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04/10/2023
Neural Lens Modeling
Recent methods for 3D reconstruction and rendering increasingly benefit ...
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03/28/2023
ASIC: Aligning Sparse in-the-wild Image Collections
We present a method for joint alignment of sparse in-the-wild image coll...
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03/23/2023
Persistent Nature: A Generative Model of Unbounded 3D Worlds
Despite increasingly realistic image quality, recent 3D image generative...
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11/20/2022
DynIBaR: Neural Dynamic Image-Based Rendering
We address the problem of synthesizing novel views from a monocular vide...
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11/03/2022
FactorMatte: Redefining Video Matting for Re-Composition Tasks
We propose "factor matting", an alternative formulation of the video mat...
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10/13/2022
What's in a Decade? Transforming Faces Through Time
How can one visually characterize people in a decade? In this work, we a...
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09/08/2022
im2nerf: Image to Neural Radiance Field in the Wild
We propose im2nerf, a learning framework that predicts a continuous neur...
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07/22/2022
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images
We present a method for learning to generate unbounded flythrough videos...
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06/13/2022
ARF: Artistic Radiance Fields
We present a method for transferring the artistic features of an arbitra...
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05/25/2022
Neural 3D Reconstruction in the Wild
We are witnessing an explosion of neural implicit representations in com...
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05/12/2022
3D Moments from Near-Duplicate Photos
We introduce 3D Moments, a new computational photography effect. As inpu...
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04/14/2022
Deformable Sprites for Unsupervised Video Decomposition
We describe a method to extract persistent elements of a dynamic scene f...
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04/05/2022
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images
We propose a neural inverse rendering pipeline called IRON that operates...
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03/16/2022
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Unsupervised semantic segmentation aims to discover and localize semanti...
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12/02/2021
Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image
We introduce the problem of predicting, from a single video frame, a low...
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08/16/2021
Who's Waldo? Linking People Across Text and Images
We present a task and benchmark dataset for person-centric visual ground...
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08/12/2021
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
The abundance and richness of Internet photos of landmarks and cities ha...
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06/07/2021
Wide-Baseline Relative Camera Pose Estimation with Directional Learning
Modern deep learning techniques that regress the relative camera pose be...
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04/28/2021
Extreme Rotation Estimation using Dense Correlation Volumes
We present a technique for estimating the relative 3D rotation of an RGB...
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04/22/2021
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
We introduce KeypointDeformer, a novel unsupervised method for shape con...
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04/08/2021
De-rendering the World's Revolutionary Artefacts
Recent works have shown exciting results in unsupervised image de-render...
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04/01/2021
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
We present PhySG, an end-to-end inverse rendering pipeline that includes...
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03/30/2021
Repopulating Street Scenes
We present a framework for automatically reconfiguring images of street ...
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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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12/17/2020
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
We introduce the problem of perpetual view generation – long-range gener...
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11/27/2020
An Ethical Highlighter for People-Centric Dataset Creation
Important ethical concerns arising from computer vision datasets of peop...
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11/26/2020
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
We present a method to perform novel view and time synthesis of dynamic ...
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11/19/2020
Multi-Plane Program Induction with 3D Box Priors
We consider two important aspects in understanding and editing images: m...
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10/15/2020
NeRF++: Analyzing and Improving Neural Radiance Fields
Neural Radiance Fields (NeRF) achieve impressive view synthesis results ...
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08/19/2020
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails
Predicting where people can walk in a scene is important for many tasks,...
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08/14/2020
Learning Gradient Fields for Shape Generation
In this work, we propose a novel technique to generate shapes from point...
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08/06/2020
Learning to Factorize and Relight a City
We propose a learning-based framework for disentangling outdoor scenes i...
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07/30/2020
Crowdsampling the Plenoptic Function
Many popular tourist landmarks are captured in a multitude of online, pu...
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06/25/2020
An Analysis of SVD for Deep Rotation Estimation
Symmetric orthogonalization via SVD, and closely related procedures, are...
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06/17/2020
MetaSDF: Meta-learning Signed Distance Functions
Neural implicit shape representations are an emerging paradigm that offe...
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06/16/2020
Visual Chirality
How can we tell whether an image has been mirrored? While we understand ...
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04/28/2020
Learning Feature Descriptors using Camera Pose Supervision
Recent research on learned visual descriptors has shown promising improv...
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04/24/2020
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
Apple orchards in the U.S. are under constant threat from a large number...
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04/23/2020
Single-View View Synthesis with Multiplane Images
A recent strand of work in view synthesis uses deep learning to generate...
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04/07/2020
Depth Sensing Beyond LiDAR Range
Depth sensing is a critical component of autonomous driving technologies...
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04/06/2020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
We are seeing a Cambrian explosion of 3D shape representations for use i...
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03/18/2020
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
We present a deep learning solution for estimating the incident illumina...
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10/07/2019
Leveraging Vision Reconstruction Pipelines for Satellite Imagery
Reconstructing 3D geometry from satellite imagery is an important topic ...
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08/29/2019
GeoStyle: Discovering Fashion Trends and Events
Understanding fashion styles and trends is of great potential interest t...
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08/19/2019
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
We introduce UprightNet, a learning-based approach for estimating 2DoF c...
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06/18/2019