Showing 1601-1620 of 2,275 projects
Code and data for enhancing photorealism, focusing on AI-powered image manipulation tools.
An interactive tool for generating customizable human images with flexible garment, pose, and scene control for virtual dressing.
Collaborative hybrid assignments training for DETRs, a novel object detection model.
Zero-shot image restoration using a denoising diffusion model that can remove various types of noise and artifacts.
A fast and efficient computer vision library for edge devices, supporting face, head, pedestrian, and vehicle detection.
A Python library for creating any 3D and 4D scenes from a single image with controllable video diffusion.
A state-of-the-art Python implementation of the unbounded / large-scale NeRF view synthesis technique.
Go bindings for the OpenCV computer vision library, enabling developers to leverage powerful image and video processing capabilities.
An extension for Auto1111 Stable Diffusion webui that adds text-to-video diffusion models like ModelScope or VideoCrafter.
A TensorFlow-based library for image completion using deep learning techniques.
A fast offline inference version of the Segment Anything Model (SAM) for PyTorch developers.
A Python library that provides a live plot of training loss for Keras and PyTorch models in Jupyter Notebooks.
A clean and readable PyTorch implementation of the CycleGAN generative adversarial network for image-to-image translation.
A fast, real-time instance segmentation library for edge devices, built with PyTorch.
Code for generating images from scene graphs, a useful tool for AI-assisted image creation.
Cross-platform GUI tool for Real-ESRGAN and Real-CUGAN, AI-powered image upscaling and enhancement.
A collection of code and slides for a YouTube series on audio signal processing for machine learning
A PyTorch implementation of the Complex-YOLO 3D object detection algorithm for LiDAR point clouds.
A Python tool for reading prompts from Stable Diffusion generated images outside the web UI.
A Python library for video recognition using deep feature flow and other computer vision techniques.
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