RAW: Robust Avatar Watermarking -- Benchmarking and Baseline 事件

RAW: Robust Avatar Watermarking -- Benchmarking and Baseline arXiv:2605.23994v1 Announce Type: new Abstract: Digital avatar watermarking presents unique challenges: avatars are routinely post-processed with background replacement, reframing, and format conversion before deployment. We introduce \textbf{RAW} (Robust Avatar Watermarking), a benchmark comprising 50 synthetic avatar videos from 5 commercial providers and 6 attacks simulating real-world avatar workflows. Evaluating 7 existing method