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ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing

Paper recorded by Signals 4 on 2026-09-30 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-30 on arXiv · recorded by Signals 4 on 2026-10-01

Category: cs.AI · 人工智能 · first seen 2026-10-01

Abstract

Recent video generation is increasingly realistic and controllable, yet video editing remains less developed, particularly for precise local edits that must preserve the original scene dynamics. Video scene text editing replaces text on scene surfaces, such as storefront signs, whiteboards, and product labels, while preserving the surrounding content, motion, and camera dynamics. Although scene te

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#2 most recent of 480 cs.AI papers we have recorded · ↑ newer: Semifactual Credit-Augmented Policy Optimization · ↓ older: Turbo Harness: Instance-Adaptive Harness Optimization
Cite this page: ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing: the #2 most recent of 480 cs.AI papers we have recorded (as of 2026-09-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/vitex-bench-benchmarking-high-fidelity-video-scene-text-editing.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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