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Found 17 papers, 5 papers with code
Nerfies: Deformable Neural Radiance Fields
We present the first method capable of photorealistically reconstructing deformable scenes using photos/videos captured casually from mobile phones.
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
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.
DynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time
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.
Time-Travel Rephotography
Many historical people were only ever captured by old, faded, black and white photos, that are distorted due to the limitations of early cameras and the passage of time.
PhotoShape: Photorealistic Materials for Large-Scale Shape Collections
Existing online 3D shape repositories contain thousands of 3D models but lack photorealistic appearance.
IM2CAD
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.
3D Time-lapse Reconstruction from Internet Photos
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.
Scene Recomposition by Learning-based ICP
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.
Illumination-Aware Age Progression
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.
Occluding Contours for Multi-View Stereo
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.
Depth From Focus With Your Mobile Phone
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.
What Makes Tom Hanks Look Like Tom Hanks
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.
Animating Pictures with Eulerian Motion Fields
In this paper, we demonstrate a fully automatic method for converting a still image into a realistic animated looping video.
Repopulating Street Scenes
We present a framework for automatically reconfiguring images of street scenes by populating, depopulating, or repopulating them with objects such as pedestrians or vehicles.
Nonprehensile Riemannian Motion Predictive Control
Nonprehensile manipulation involves long horizon underactuated object interactions and physical contact with different objects that can inherently introduce a high degree of uncertainty.
Total Selfie: Generating Full-Body Selfies
We present a method to generate full-body selfies from photographs originally taken at arms length.
HRTF Estimation in the Wild
Our approach offers an efficient and accessible method for deriving personalized HRTFs and has the potential to greatly improve spatial audio experiences.
