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This is a drawing plugin for Obsidian that provides an integrated canvas editor for creating hand-drawn diagrams and sketches directly inside a note-taking vault. It functions as a freeform whiteboard-style editor where users can sketch, connect objects, and embed their drawings into markdown notes as SVG or PNG images. The plugin extends beyond basic sketching by offering data-driven diagram generation, allowing users to create mindmaps, family trees, and charts by processing structured data from vault notes or scripts. It supports scriptable drawing automation through macros and automated s
Triangula is a genetic algorithm image stylizer and renderer that transforms raster images into stylized polygonal artwork. It functions as an image-to-SVG converter that optimizes point placement to recreate the shapes and colors of a source image using triangulated polygons. The project utilizes a fitness-based point selection process and genetic algorithm optimization to iteratively evolve vertex positions. This approach minimizes the difference between the generated polygons and the original image through crossover, mutation, and iterative polygon refinement. The system covers the full p
This project is a neural style transfer framework that provides a suite of computer vision tools for applying artistic styles to images and video. It functions as a system for training feedforward neural networks, an iterative style optimizer, and a real-time video stylizer. The framework supports two primary methods of stylization: a feedforward model that applies styles in a single pass and an iterative optimization method that generates stylized images by minimizing content and style loss without a pre-trained model. It also enables real-time processing of live webcam feeds using trained m
AnimateAnyone is an appearance-preserving video synthesizer designed for character animation from a single static image. It functions as a diffusion image-to-video generator that transforms a source image into a high-fidelity video sequence while maintaining consistent character identity, clothing, and visual details across all frames. The system enables video-driven character reenactment by transferring motions, facial expressions, and body movements from a reference video onto a static character. It employs pose-guided video generation to control movement via skeleton keypoints and pose sig
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 main features of lllyasviel/paints-undo are: Brush Stroke Reconstruction, Image State Differencing, Artistic Image Processing, Artistic Operation Reversals, Artistic Process Simulations, Digital Art Reconstruction, Automated Drawing Sequences, Drawing Sequence Reconstruction.
Projects with overlapping indexed features include: zsviczian/obsidian-excalidraw-plugin — This is a drawing plugin for Obsidian that provides an integrated canvas editor for creating hand-drawn diagrams and… jcjohnson/fast-neural-style — This project is a neural style transfer framework that provides a suite of computer vision tools for applying artistic… rh12503/triangula — Triangula is a genetic algorithm image stylizer and renderer that transforms raster images into stylized polygonal… thudm/cogvideo — CogVideo is a generative video framework that uses diffusion models and transformer-based architectures to synthesize… sandai-org/magi-1 — MAGI-1 is an autoregressive video generation model designed to synthesize high-resolution video sequences from text… humanaigc/animateanyone — AnimateAnyone is an appearance-preserving video synthesizer designed for character animation from a single static…