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arXiv 2610.26081 · cs.CV · 2026-10-19

DeOverlay: A Benchmark and Source-Anchored Flow for Video Overlay Removal

Deshui Miao, Yuhang Ma, Shaoyong Jia, Wenzhao Gao, Yue Zhang, Shaohui Jiao, Xin Li

ByteDance

In latest · #365 Added on 2026-10-25

One-line takeaway

ByteDance's DeOverlay offers a benchmark and a source-anchored flow model for removing subtitles, titles and logos from video, using region-weighted flow matching and visibility-normalized temporal aggregation to cut residue and distortion.

字节的 DeOverlay 提出视频去字幕、去标题和台标的基准与方法:以源视频隐变量为锚做流匹配,按区域加权训练,并按可见度聚合时序线索,减少残留和结构变形。

19HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
35.6Buzz score

Read on arXiv PDF Hugging Face discussion Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)