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InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following
April 29, 2024, 4:45 a.m. | Shufan Li, Harkanwar Singh, Aditya Grover
cs.CV updates on arXiv.org arxiv.org
Abstract: The ability to provide fine-grained control for generating and editing visual imagery has profound implications for computer vision and its applications. Previous works have explored extending controllability in two directions: instruction tuning with text-based prompts and multi-modal conditioning. However, these works make one or more unnatural assumptions on the number and/or type of modality inputs used to express controllability. We propose InstructAny2Pix, a flexible multi-modal instruction-following system that enables users to edit an input image …
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