Search Results for author: Steven M. Seitz

Found 14 papers, 3 papers with code

HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

1 code implementation24 Jun 2021 Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, Steven M. Seitz

A common approach to reconstruct such non-rigid scenes is through the use of a learned deformation field mapping from coordinates in each input image into a canonical template coordinate space.

Novel View Synthesis

Repopulating Street Scenes

no code implementations CVPR 2021 Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely

We present a framework for automatically reconfiguring images of street scenes by populating, depopulating, or repopulating them with objects such as pedestrians or vehicles.

Autonomous Driving

Time-Travel Rephotography

no code implementations22 Dec 2020 Xuan Luo, Xuaner Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz

Many historical people are captured only in old, faded, black and white photos, that have been distorted by the limitations of early cameras and the passage of time.

Colorization Denoising +1

Animating Pictures with Eulerian Motion Fields

no code implementations CVPR 2021 Aleksander Holynski, Brian Curless, Steven M. Seitz, Richard Szeliski

In this paper, we demonstrate a fully automatic method for converting a still image into a realistic animated looping video.

Image-to-Image Translation

Nerfies: Deformable Neural Radiance Fields

1 code implementation25 Nov 2020 Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, Ricardo Martin-Brualla

We present the first method capable of photorealistically reconstructing deformable scenes using photos/videos captured casually from mobile phones.

3D Human Reconstruction

Scene Recomposition by Learning-based ICP

no code implementations CVPR 2020 Hamid Izadinia, Steven M. Seitz

By moving a depth sensor around a room, we compute a 3D CAD model of the environment, capturing the room shape and contents such as chairs, desks, sofas, and tables.

PhotoShape: Photorealistic Materials for Large-Scale Shape Collections

1 code implementation26 Sep 2018 Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steven M. Seitz

Existing online 3D shape repositories contain thousands of 3D models but lack photorealistic appearance.

IM2CAD

no code implementations CVPR 2017 Hamid Izadinia, Qi Shan, Steven M. Seitz

Given a single photo of a room and a large database of furniture CAD models, our goal is to reconstruct a scene that is as similar as possible to the scene depicted in the photograph, and composed of objects drawn from the database.

Scene Understanding

What Makes Tom Hanks Look Like Tom Hanks

no code implementations ICCV 2015 Supasorn Suwajanakorn, Steven M. Seitz, Ira Kemelmacher-Shlizerman

We reconstruct a controllable model of a person from a large photo collection that captures his or her persona, i. e., physical appearance and behavior.

3D Face Reconstruction

3D Time-lapse Reconstruction from Internet Photos

no code implementations ICCV 2015 Ricardo Martin-Brualla, David Gallup, Steven M. Seitz

Given an Internet photo collection of a landmark, we compute a 3D time-lapse video sequence where a virtual camera moves continuously in time and space.

Depth From Focus With Your Mobile Phone

no code implementations CVPR 2015 Supasorn Suwajanakorn, Carlos Hernandez, Steven M. Seitz

While prior depth from focus and defocus techniques operated on laboratory scenes, we introduce the first depth from focus (DfF) method capable of handling images from mobile phones and other hand-held cameras.

DynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time

no code implementations CVPR 2015 Richard A. Newcombe, Dieter Fox, Steven M. Seitz

We present the first dense SLAM system capable of reconstructing non-rigidly deforming scenes in real-time, by fusing together RGBD scans captured from commodity sensors.

Occluding Contours for Multi-View Stereo

no code implementations CVPR 2014 Qi Shan, Brian Curless, Yasutaka Furukawa, Carlos Hernandez, Steven M. Seitz

The proposed approach outperforms state of the art MVS techniques for challenging Internet datasets, yielding dramatic quality improvements both around object contours and in surface detail.

Illumination-Aware Age Progression

no code implementations CVPR 2014 Ira Kemelmacher-Shlizerman, Supasorn Suwajanakorn, Steven M. Seitz

We present an approach that takes a single photograph of a child as input and automatically produces a series of age-progressed outputs between 1 and 80 years of age, accounting for pose, expression, and illumination.

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