About PaintsUndo
PaintsUndo is a base model that generates drawing behavior sequences from static digital paintings, effectively creating time-lapse videos of the artistic process. Developed as a research project and presented at CVPR 2023, the model takes a single image as input and outputs a video showing how the painting might have been constructed step by step. The project showcases capabilities across multiple domains (anime, sketches), supports multiple outputs from one input, and allows interpolation from external sketches. However, it has limitations in photo-realism, complex compositions, and understanding specialized concepts.
Key Features
Pros & Cons
- Academic peer-review and publication at CVPR 2023
- Open-source availability on GitHub
- Supports diverse artistic domains (anime, natural images, sketches)
- Provides controllable coarseness levels for sketch extraction
- Enables creative interpolation between different sketch styles
- Struggles to reproduce photo-realistic content
- Difficulty handling complicated compositions
- Limited understanding of specialized artistic concepts
- Results may not follow mainstream workflows in some designs
- Output resolution and frame count are fixed (256×256, 16 frames)
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