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MM-SVGEdit is proposed, a multimodal-driven SVG editing approach that integrates traditional SVG editing and LLM-based methods and introduces a two-stage strategy in which visual grounding is followed by modification.
HUG-VIS, a unified benchmark for Human-centered Understanding and Generation in Visual Intelligence, contains 8,400 seated half-body videos of 30 professional actors, each performing the same 280 emotion-action-prompt assignments under a controlled Mandarin studio protocol, with synchronized video, audio, text, and alp...
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