jamriska/ebsynth

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1674 stars · 206 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Ebsynth is a fast example-based image synthesis tool that performs style transfer, guided texture synthesis, inpainting, and super-resolution using non-parametric patch-based algorithms rather than neural networks. It is available as a command-line tool with CPU and CUDA backends, and also powers a commercial VFX web/desktop app for propagating painted keyframes across video.

Use cases

• transfer artistic style from one image to another
• synthesize textures guided by segmentation maps (texture-by-numbers)
• stylize 3D render passes like an artist would (StyLit workflow)
• propagate a painted keyframe across video frames for rotoscoping and animation
• content-aware inpainting of images
• example-based super-resolution preserving fine detail

When to choose

• you need crisp, detail-preserving synthesis without neural networks or GPU training
• you want to stylize video by painting only keyframes
• you need guided texture synthesis from a source photo plus segmentation
• you want a lightweight CLI with optional CUDA acceleration

When to avoid

• you need generative AI models trained on large datasets
• you need a GUI in the open-source tool itself (the CLI is text-only)
• your project requires a permissive license — the repo has no license file
• you need active feature development (releases are infrequent)

Facets

cli-tool · maturity maintenance

image-processing graphics image-processing graphics computer-vision windows cli cpp style-transfer texture-synthesis image-analogy patch-based-synthesis non-photorealistic-rendering vfx cuda linux macos

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markdown · JSON · MCP: product_card(name="jamriska/ebsynth")