arXiv Computer Vision
Imagine Before You Draw: Visual Prompt Engineering for Image Generation
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FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry
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UniGen-AR: Unifying Visual Generation with Auto-Regressive Modeling
Modern computer vision pipelines remain fragmented, with tasks such as text-to-image generation, editing, restoration, and classical perception handled by separate models. We study Unified Visual Generation (UVG), where a single model produces diverse image-valued outputs through a unified multimodal interface.