Search Results for author: Ayush Saraf

Found 7 papers, 5 papers with code

OmnimatteRF: Robust Omnimatte with 3D Background Modeling

1 code implementation ICCV 2023 Geng Lin, Chen Gao, Jia-Bin Huang, Changil Kim, Yipeng Wang, Matthias Zwicker, Ayush Saraf

Video matting has broad applications, from adding interesting effects to casually captured movies to assisting video production professionals.

Image Matting Video Matting

Robust Dynamic Radiance Fields

1 code implementation CVPR 2023 Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, Jia-Bin Huang

Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene.

AMICO: Amodal Instance Composition

no code implementations11 Oct 2022 Peiye Zhuang, Jia-Bin Huang, Ayush Saraf, Xuejian Rong, Changil Kim, Denis Demandolx

Image composition aims to blend multiple objects to form a harmonized image.

Object

Boosting View Synthesis With Residual Transfer

no code implementations CVPR 2022 Xuejian Rong, Jia-Bin Huang, Ayush Saraf, Changil Kim, Johannes Kopf

We present a simple but effective technique to boost the rendering quality, which can be easily integrated with most view synthesis methods.

Novel View Synthesis

Dynamic View Synthesis from Dynamic Monocular Video

1 code implementation ICCV 2021 Chen Gao, Ayush Saraf, Johannes Kopf, Jia-Bin Huang

We present an algorithm for generating novel views at arbitrary viewpoints and any input time step given a monocular video of a dynamic scene.

One Shot 3D Photography

1 code implementation27 Aug 2020 Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael Cohen

3D photos are static in time, like traditional photos, but are displayed with interactive parallax on mobile or desktop screens, as well as on Virtual Reality devices, where viewing it also includes stereo.

Monocular Depth Estimation

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