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DreamOmni3: New framework enables scribble-based image editing and generation

Researchers have introduced DreamOmni3, a new framework designed for scribble-based image editing and generation. This model addresses the limitations of text-only prompts by incorporating freehand sketches alongside text and original images for more precise control over edits and content creation. DreamOmni3 utilizes a novel joint input scheme that feeds both original and scribbled source images into the model, distinguishing regions by color and using position encodings to accurately localize edits. The project also establishes new benchmarks for these tasks and plans to release its models and code publicly. AI

IMPACT Enhances image editing capabilities by allowing for more precise control through scribbles, potentially improving user experience in creative tools.

RANK_REASON Publication of a new research paper detailing a novel framework and benchmarks for image editing and generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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DreamOmni3: New framework enables scribble-based image editing and generation

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Bin Xia, Bohao Peng, Jiyang Liu, Sitong Wu, Jingyao Li, Junjia Huang, Xu Zhao, Yitong Wang, Ruihang Chu, Bei Yu, Jiaya Jia ·

    DreamOmni3: Scribble-based Editing and Generation

    arXiv:2512.22525v2 Announce Type: replace Abstract: Recently unified generation and editing models have achieved remarkable success with their impressive performance. These models rely mainly on text prompts for instruction-based editing and generation, but language often fails t…