Zobrazeno 1 - 10
of 544
pro vyhledávání: '"Steven M. Seitz"'
Autor:
Jason Lawrence, Danb Goldman, Supreeth Achar, Gregory Major Blascovich, Joseph G. Desloge, Tommy Fortes, Eric M. Gomez, Sascha Häberling, Hugues Hoppe, Andy Huibers, Claude Knaus, Brian Kuschak, Ricardo Martin-Brualla, Harris Nover, Andrew Ian Russell, Steven M. Seitz, Kevin Tong
Publikováno v:
ACM Transactions on Graphics. 40:1-16
We present a real-time bidirectional communication system that lets two people, separated by distance, experience a face-to-face conversation as if they were copresent. It is the first telepresence system that is demonstrably better than 2D videoconf
Publikováno v:
CVPR
In this paper, we demonstrate a fully automatic method for converting a still image into a realistic animated looping video. We target scenes with continuous fluid motion, such as flowing water and billowing smoke. Our method relies on the observatio
Autor:
Steven M. Seitz, Noah Snavely, Andrew Liu, Richard Tucker, Yifan Wang, Brian Curless, Jiajun Wu
Publikováno v:
CVPR
We present a framework for automatically reconfiguring images of street scenes by populating, depopulating, or repopulating them with objects such as pedestrians or vehicles. Applications of this method include anonymizing images to enhance privacy,
Publikováno v:
Experimental Robotics ISBN: 9783030711504
ISER
ISER
Nonprehensile manipulation involves long horizon underactuated object interactions and physical contact with different objects that can inherently introduce a high degree of uncertainty. In this work, we introduce a novel Real-to-Sim reward analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::829af2065b869b7a5347be61c64a6cf6
https://doi.org/10.1007/978-3-030-71151-1_54
https://doi.org/10.1007/978-3-030-71151-1_54
Publikováno v:
3DV
This paper introduces KeystoneDepth, the largest and most diverse collection of rectified historical stereo image pairs to date, consisting of tens of thousands of stereographs of people, events, objects, and scenes recorded between 1864 and 1966. Le
Autor:
Steven M. Seitz, Hamid Izadinia
Publikováno v:
CVPR
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. Rather than reconstructing geometry, we match, place, and align each object in the s
Publikováno v:
CVPR
We address the dual problems of novel view synthesis and environment reconstruction from hand-held RGBD sensors. Our contributions include 1) modeling highly specular objects, 2) modeling inter-reflections and Fresnel effects, and 3) enabling surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ad8f5a76d7e713e08063d8e80d68e3e
http://arxiv.org/abs/2001.04642
http://arxiv.org/abs/2001.04642
Autor:
Soumyadip Sengupta, Steven M. Seitz, Ira Kemelmacher-Shlizerman, Vivek Jayaram, Brian Curless
Publikováno v:
CVPR
We propose a method for creating a matte -- the per-pixel foreground color and alpha -- of a person by taking photos or videos in an everyday setting with a handheld camera. Most existing matting methods require a green screen background or a manuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c67f09721092c3a80006e5d88d836c15
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586065
ECCV (10)
ECCV (10)
By analyzing the motion of people and other objects in a scene, we demonstrate how to infer depth, occlusion, lighting, and shadow information from video taken from a single camera viewpoint. This information is then used to composite new objects int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81d48adc4364ff54665d270ca55f66b9
https://doi.org/10.1007/978-3-030-58607-2_26
https://doi.org/10.1007/978-3-030-58607-2_26
Autor:
Xuan Luo, Xuaner (Cecilia) Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz
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. This paper simulates traveling back in time with a modern camera to rephotograph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6ed0b7e3f66c017dd40c04c1524184d