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Javascript library for geospatial prediction and mapping via ordinary kriging
Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
Enjoy the magic of Diffusion models!
[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.
[CVPR2024] VideoBooth: Diffusion-based Video Generation with Image Prompts
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Label Studio is a multi-type data labeling and annotation tool with standardized output format
This repository contains code to train object detection models like FRCNN/YOLO for identifying objects in Ground Penetrating Radar scans. It also contains code to generate fake data using Generativ…
一个探地雷达图像处理项目,已实现B-Scan图像病害提取、病害类型甄别、二层钢筋识别、病害厘米级定位等功能,待实现的功能有声呐图像处理、利用深度学习实现病害分类等。
a research paper for generative cartoon interpolation
[ECCV 2024] OMG: Occlusion-friendly Personalized Multi-concept Generation In Diffusion Models
3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting
Official Pytorch implementation of StreamV2V.
Support for miscellaneous image models. Currently supports: DiT, PixArt, T5 and a few custom VAEs
Official Implementation of "Learning Inclusion Matching for Animation Paint Bucket Colorization"
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
MuLan: Adapting Multilingual Diffusion Models for 110+ Languages (无需额外训练为任意扩散模型支持多语言能力)
Lumina-T2X is a unified framework for Text to Any Modality Generation
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting
ComfyUI native implementation of IC-Light
At the moment this is mostly a tech demo to show how to build a web app on top of ComfyUI
[ECCV 2024] official code for "Long-CLIP: Unlocking the Long-Text Capability of CLIP"