SOURCE-LINKED INTELLIGENCE

HUG-VIS: A Multimodal Benchmark for Human-centered Understanding and Generation in Visual Intelligence

arXiv · AI, language, vision and robotics · article · Aug 27, 2026 · UTC

Visual intelligence seeks to perceive, interpret, and synthesize the visual world and is central to modern computer vision. Human-centered visual intelligence is especially demanding because it studies people as expressive, socially situated subjects whose meaning is rarely conveyed by appearance alone. It couples vision with audio and language across four representative tasks: human emotion recognition, human video generation, human voice cloning, and human video matting. Yet existing resources remain task-specific, providing modalities and annotations for individual problems rather than a sh

Read original source ↗ Open in workspace

recordType

paper

region

Global