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This project is a deep learning style transfer framework designed to apply artistic styles to photographs. It functions as a photorealistic image stylizer that merges the content of one image with the visual characteristics of another while maintaining the original geometry and structural details. The system distinguishes itself through the use of matting Laplacian matrices and semantic segmentation masks to prevent distortion and preserve edge fidelity. These capabilities allow for region-specific styling, where different aesthetics can be applied to distinct objects or areas within a single
Primitive is an algorithmic art generator and geometric image reconstruction tool that transforms raster images into stylized vector compositions. It functions as an iterative shape optimizer and raster-to-vector converter, approximating pixel-based photos by layering geometric primitives such as triangles, circles, and rectangles. The project utilizes a search algorithm to determine the optimal position, size, and color for each shape to minimize the visual difference from the source image. Users can apply shape constraint definitions to control the properties and orientations of the geometr
mmagic is a multimodal training pipeline and framework for generative AI, focusing on visual synthesis and restoration. It provides the infrastructure to build and train models for tasks such as text-to-image and text-to-video generation, 3D-aware content synthesis, and high-fidelity image translation using diffusion models and generative adversarial networks. The project distinguishes itself through specialized capabilities for generative model personalization, including techniques for fine-tuning subjects and styles. It also supports advanced visual manipulations such as latent space interp
3D Generative Adversarial Network
The main features of zck119/3dgan-release are: 3D and Spatial Synthesis, 3D Object Classification, Image Synthesis, Specialized Adversarial Applications.
Projects with overlapping indexed features include: fogleman/primitive — Primitive is an algorithmic art generator and geometric image reconstruction tool that transforms raster images into… luanfujun/deep-photo-styletransfer — This project is a deep learning style transfer framework designed to apply artistic styles to photographs. It… open-mmlab/mmagic — mmagic is a multimodal training pipeline and framework for generative AI, focusing on visual synthesis and… amir32002/feedback-networks — Paper: Feedback Networks, CVPR 2017. carpedm20/simulated-unsupervised-tensorflow — TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training". borisdayma/dalle-mini — dalle-mini is a text-to-image model and generative AI system designed to transform natural language descriptions into…