Goxel: Free and Open Source 3D Voxel Editor
- voxel-editors
- voxels
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Goxel: Free and Open Source 3D Voxel Editor
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
Tools and instructions for importing custom models into a certain anime game
Parse Photoshop files in Ruby with ease
Main repo. Quil source code.
Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos.
🎇 Quickly search over billions of images
A post processing library for three.js.
Open-source, self-hosted file-processing tool. Convert, compress, OCR, transcribe & run local AI across image, video, audio, PDF & documents, via UI, REST API & pipelines. Your files never leave your network.
AI 驱动的学术论文配图生成平台。上传论文 → AI 分析内容生成 Prompt → 一键生成高质量科研配图,还有配套的skill可在主流agent中使用
:point_down::boom: JavaScript library for handling Force Touch, 3D Touch, and Pointer Pressure.
Easily optimize images using PHP
A WebGL graphic library for building scalable Web3D applications
Extracts Exif, IPTC, XMP, ICC and other metadata from image, video and audio files
A Photoshop PSD file parser for NodeJS and browsers
A vector graphics application for structured SVG editing, available on all major desktop platforms and on web. Currently in late alpha.
A self-hosted local image optimizer that runs in your browser.
Grida — Open Canvas
Modern photo gallery for photographers, with S3/GitHub sync, EXIF details, maps, and a WebGL viewer.
A lightweight local-first graphic-centric productivity tool to build your second brain. Supporting Excalidraw/Tldraw whiteboard and notion-like note. 一款以图形为中心、轻量级、本地优先的用于构建第二大脑的效率工具。支持 Excalidraw、Tldraw 白板和类 Notion 笔记。
Vector illustration app for the iPad.
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
an image compression framework.(一个高保真、高压缩比的图片压缩框架)
Mirage Persistent Kernel: Compiling LLMs into a MegaKernel