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87719371 (github.io)
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title
description
Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.
image
site name
author
updated
2026-02-28 01:03:16
raw text
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting Inkyu Shin 1 , Qihang Yu 2 , Xiaohui Shen 2 , In So Kweon 1 , Kuk-Jin Yoon 1 , Liang-Chieh Chen 2 1 KAIST, 2 ByteDance arXiv Code Video-3DGS leverages 3D Gaussians for reconstructing and editing dynamic monocular videos. Abstract We introduce Video-3DGS, an innovative two-stage approach tailored for editing dynamic monocular videos by reconstructing them with 3DGS. Video-3DGS (1st stage) aims to reconstruct the videos with 3DGS. It is empowered by the proposed MC-COLMAP, a modified version of COLMAP, applied to videos in a Masked and Clipped manner. We employ an open-vocabulary video segmenter to extract segmentation masks for foreground moving objects and divide long video sequenc...
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2026-02-28 01:03:16
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