# lllyasviel/paints-undo

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4,062 stars · 391 forks · Python · Apache-2.0

## Links

- GitHub: https://github.com/lllyasviel/Paints-UNDO
- awesome-repositories: https://awesome-repositories.com/repository/lllyasviel-paints-undo.md

## Description

Paints-UNDO is an AI-driven system designed to reverse final digital images into simulated brush stroke sequences. It functions as a digital art undo simulator and a drawing sequence reconstructor, predicting and visualizing previous states of a painting by reversing artistic operations.

The project transforms static images into process videos by interpolating between reconstructed drawing states. It uses an image-to-video painting process generator to create smooth progression videos of artwork.

The system covers digital art reconstruction and artistic process simulation, including the ability to simulate a specific number of undo actions on a final image. It further analyzes the sequence of artistic operations to facilitate human behavior analysis.

## Tags

### Graphics & Multimedia

- [Brush Stroke Reconstruction](https://awesome-repositories.com/f/graphics-multimedia/brush-stroke-reconstruction.md) — Analyzes pixel changes to estimate the order and placement of individual brush strokes from a final image.
- [Artistic Image Processing](https://awesome-repositories.com/f/graphics-multimedia/artistic-image-processing.md) — Employs computational methods to reverse artistic operations and visualize previous states of an artwork. ([source](https://github.com/lllyasviel/paints-undo#readme))
- [Artistic Operation Reversals](https://awesome-repositories.com/f/graphics-multimedia/artistic-operation-reversals.md) — Simulates undo actions by subtracting predicted layers and brush operations from the current canvas state.
- [Artistic Process Simulations](https://awesome-repositories.com/f/graphics-multimedia/artistic-process-simulations.md) — Simulates undo operations on a final image to visualize previous states of the creative work.
- [Digital Art Reconstruction](https://awesome-repositories.com/f/graphics-multimedia/digital-art-reconstruction.md) — Recovers the step-by-step drawing sequence of a finished digital painting to understand its creation.
- [Automated Drawing Sequences](https://awesome-repositories.com/f/graphics-multimedia/graphics-and-media/shape-drawing/drawing-layers/automated-drawing-sequences.md) — Reverses final digital images into a step-by-step sequence of simulated brush strokes.
- [Drawing Sequence Reconstruction](https://awesome-repositories.com/f/graphics-multimedia/graphics-and-media/shape-drawing/drawing-layers/drawing-sequence-reconstruction.md) — Reverses brush strokes and operations on a finished digital painting to simulate the step-by-step creation process. ([source](https://github.com/lllyasviel/paints-undo#readme))
- [Painting State Predictors](https://awesome-repositories.com/f/graphics-multimedia/painting-state-predictors.md) — Predicts and visualizes previous states of a painting by reversing artistic operations on a final image.
- [Temporal Frame Interpolation](https://awesome-repositories.com/f/graphics-multimedia/frame-buffer-snapshots/sequential-frame-buffers/temporal-frame-interpolation.md) — Generates smooth intermediate frames between key snapshots of an artwork to create a consistent progression video. ([source](https://github.com/lllyasviel/paints-undo#readme))
- [Creative Process Modeling](https://awesome-repositories.com/f/graphics-multimedia/spatio-temporal-prediction/creative-process-modeling.md) — Maps artistic operations across both coordinate space and a simulated timeline to reconstruct the creative process.
- [Process Video Synthesis](https://awesome-repositories.com/f/graphics-multimedia/video-transition-smoothing/process-video-synthesis.md) — Creates smooth process videos of an artwork by interpolating frames between key snapshots of the drawing.

### Development Tools & Productivity

- [Image State Differencing](https://awesome-repositories.com/f/development-tools-productivity/screen-capture-utilities/pixel-analysis/image-state-differencing.md) — Calculates differences between image states to identify specific areas and colors modified during a drawing step.

### Artificial Intelligence & ML

- [Image-to-Video Generation](https://awesome-repositories.com/f/artificial-intelligence-ml/video-generation/image-to-video-generation.md) — Generates smooth progression videos of artwork by interpolating between reconstructed drawing states.

### Part of an Awesome List

- [Video Synthesis and Interpolation](https://awesome-repositories.com/f/awesome-lists/ai/video-synthesis-and-interpolation.md) — Implements frame interpolation to synthesize smooth transitions between reconstructed painting states for process videos.