AI tools for 2D الى 3ي
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Double Subtitles
Double Subtitles is an AI-powered tool that helps you add subtitles to your videos quickly and easily. With 90% of mobile videos being watched on mute, it's more important than ever to make sure your viewers can understand your content. Double Subtitles uses advanced AI algorithms to generate accurate, precise, and fast subtitles. It's 90% more accurate, 20x faster, and 3x lower cost than the competition. Plus, you can customize the style of your subtitles to match your brand. With Double Subtitles, you can be sure that your viewers will understand your content, no matter how they're watching it.
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Getfloorplan
Getfloorplan is an AI-powered platform that allows users to create 2D and 3D floor plans, as well as virtual tours for real estate properties. The application offers various sets of property visuals at different price points, starting from basic 2D plans to high-quality renderings. Users can upload a floor plan and receive realistic and attractive visuals within 24 hours, without the need for human involvement. Getfloorplan guarantees the lowest price and offers a money-back guarantee if users are unsatisfied with the results.
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3Dify
3Dify is an AI-powered 2D to 3D model generator that allows users to transform any 2D image into professional 3D models with the help of artificial intelligence. The platform offers a straightforward process where users can upload their 2D images, have the background removed automatically, and generate 3D assets with just a click. 3Dify supports various input and output formats, making it widely compatible with common 3D software and game engines. The service is free to use and aims to make 3D creation accessible to everyone, enabling users to create game assets, textures, animations, and more.
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OpalAi
OpalAi is a revolutionary floor plan creator app that empowers users to create detailed floor plans and BIM models using only their iPhone or iPad. With its cutting-edge AI technology, OpalAi automates the entire process, eliminating the need for manual measurements, note-taking, and furniture removal. Simply scan your space, texture it within the app, and upload the project to receive a complete floor plan in just 10 minutes. OpalAi supports various output formats, including 3D CAD & BIM models, Revit, AutoCAD, Sketchup, Rhino, PDF, and 2020 Design models, with options for textured and colored models. The app's advanced features and capabilities make it an ideal tool for architects, contractors, real estate agents, interior designers, and homeowners alike.
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Alpha3D
Alpha3D is a game-changing generative AI platform that empowers game developers and content creators to bring their visions to life by effortlessly transforming text prompts and 2D images into high-quality 3D digital assets in minutes. It is a user-friendly tool that allows users to create 3D models without the need for prior 3D modeling experience. Alpha3D is known for its speed, cost-effectiveness, and ease of use in generating 3D assets for various applications.
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Travel AI
This website provides a personalized and detailed trip itinerary for any travel idea or place in the world in seconds using artificial intelligence. It offers a wide range of features to help you plan your perfect trip, including the ability to search for flights, hotels, and activities, as well as get recommendations on what to see and do. The website also provides a variety of travel tips and advice to help you make the most of your trip.
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SceneDreamer
SceneDreamer is an AI tool that learns to generate unbounded 3D scenes from in-the-wild 2D image collections. It synthesizes diverse landscapes with 3D consistency, well-defined depth, and free camera trajectory. The framework comprises an efficient 3D scene representation, generative scene parameterization, and a neural volumetric renderer. SceneDreamer excels in generating vivid and diverse unbounded 3D worlds without the need for 3D annotations.
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Real Life 3D
Real Life 3D is an AI-powered platform that specializes in converting video and still images into 3D format. The platform utilizes advanced AI technology to streamline the conversion process, making it efficient and cost-effective. Real Life 3D offers the ability to deliver content to various 3D and VR platforms, enhancing the immersive experience for viewers. The platform caters to a wide range of users, from filmmakers to content creators, by providing a seamless solution for transforming 2D content into engaging 3D experiences.
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Meshy AI
Meshy AI is the #1 AI 3D Model Generator for Creators, offering powerful AI generation tools to help users unlock infinite possibilities. It allows users to create detailed 3D models from simple text prompts, turn artwork and images into 3D models, generate textures for existing 3D models, and create rigged and animated 3D characters with ease. Meshy is trusted by millions of game developers, studios, 3D printing enthusiasts, and XR creators worldwide for its speed, ease of use, and realistic results.
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Make your image 3D
This website provides a tool that allows users to convert 2D images into 3D images. The tool uses artificial intelligence to extract depth information from the image, which is then used to create a 3D model. The resulting 3D model can be embedded into a website or shared via a link.
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Makefilm.ai
Makefilm.ai is an AI-powered platform that transforms YouTube videos into TikTok and Shorts effortlessly. It offers a range of features such as automatic generation of captions in multiple languages, customizable editing tools, real-time speech captioning, and dynamic effects. The platform aims to make video creation engaging, accessible, and professional for video creators, businesses, educators, and marketers. With Makefilm.ai, users can enhance video accessibility, reach a wider audience, and create high-quality videos with ease.
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Movmi
Movmi is a human AI-powered motion capture tool designed for 3D animators. It offers innovative features like Pose Generate to transform text into 3D poses and RenderAI to create videos with AI-generated backgrounds. Movmi provides a collaborative space for teams to share and discuss projects, enhancing productivity and fostering a sense of community among users. The tool aims to convert 2D media content into 3D human motion estimations using advanced AI algorithms, making it a high-quality solution for motion development tasks.
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Maket
Maket is a generative design and architecture software that leverages AI to democratize architecture. It allows users to design and plan residential projects efficiently by providing automated floorplan generation, style exploration, and expert guidance on materials, costs, and design possibilities. Maket simplifies navigating zoning codes and regulations, enabling users to comply with requirements and avoid delays. With Maket, users can generate residential floorplan variations in minutes, visualize different design styles, and streamline the design process with AI-powered tools.
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Story Machine
Story Machine is a powerful no-code game engine designed to make creation simple & put the power in the hands of the storyteller. Story Machine is currently in private beta. Assemble your game with the ease of drag and drop, no programming required. Story Machine enables top-tier 2D adventure game development through a direct, visual grammar. Arrange sequences of actions to build game logic without code. Story Machine is designed to make game development straightforward, without the complexity and baggage of other modern game engines. Generate AI art for prototyping or production directly in Story Machine. Use context-aware UI to quickly create backgrounds, objects, or characters. Or just write a prompt. Story Machine finds the best AI model and service to satisfy your request, and uses it to generate your image.
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Pigeon Studio
Pigeon Studio is an animation studio that specializes in creating engaging and impactful animated content for businesses and organizations. With a team of experienced animators and designers, Pigeon Studio can bring your ideas to life with high-quality 2D and 3D animation. Whether you need an explainer video, a marketing video, or a training video, Pigeon Studio can create a custom solution that meets your needs.
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Logo Diffusion
Logo Diffusion is an AI-powered logo maker that allows users to create unique and custom logos in seconds. With Logo Diffusion, you can control every aspect of your logo design process, from the colors and fonts to the overall layout. Logo Diffusion also offers a variety of features to help you create the perfect logo for your business, including a text-to-logo generator, a logo-to-logo redesign tool, and a sketch-to-logo converter.
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FastFurniture
Transforms 2D furniture blueprints into detailed 3D models with building instructions.
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16-bit Multiview
Multiple perspective 16-bit sprite/pixel art objects/characters. Just name an object. A great starting point for 2d game assets.
Eliora
State of the art fitness assistant, featuring AI assisted workouts, planning, nutrition, and DNA analysis.
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EasyAIVtuber
EasyAIVtuber is a tool designed to animate 2D waifus by providing features like automatic idle actions, speaking animations, head nodding, singing animations, and sleeping mode. It also offers API endpoints and a web UI for interaction. The tool requires dependencies like torch and pre-trained models for optimal performance. Users can easily test the tool using OBS and UnityCapture, with options to customize character input, output size, simplification level, webcam output, model selection, port configuration, sleep interval, and movement extension. The tool also provides an API using Flask for actions like speaking based on audio, rhythmic movements, singing based on music and voice, stopping current actions, and changing images.
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cellseg_models.pytorch
cellseg-models.pytorch is a Python library built upon PyTorch for 2D cell/nuclei instance segmentation models. It provides multi-task encoder-decoder architectures and post-processing methods for segmenting cell/nuclei instances. The library offers high-level API to define segmentation models, open-source datasets for training, flexibility to modify model components, sliding window inference, multi-GPU inference, benchmarking utilities, regularization techniques, and example notebooks for training and finetuning models with different backbones.
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MiniAI-Face-LivenessDetection-AndroidSDK
The MiniAiLive Face Liveness Detection Android SDK provides advanced computer vision techniques to enhance security and accuracy on Android platforms. It offers 3D Passive Face Liveness Detection capabilities, ensuring that users are physically present and not using spoofing methods to access applications or services. The SDK is fully on-premise, with all processing happening on the hosting server, ensuring data privacy and security.
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godot_rl_agents
Godot RL Agents is an open-source package that facilitates the integration of Machine Learning algorithms with games created in the Godot Engine. It provides interfaces for popular RL frameworks, support for memory-based agents, 2D and 3D games, AI sensors, and is licensed under MIT. Users can train agents in the Godot editor, create custom environments, export trained agents in ONNX format, and utilize advanced features like different RL training frameworks.
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GraphRAG-Local-UI
GraphRAG Local with Interactive UI is an adaptation of Microsoft's GraphRAG, tailored to support local models and featuring a comprehensive interactive user interface. It allows users to leverage local models for LLM and embeddings, visualize knowledge graphs in 2D or 3D, manage files, settings, and queries, and explore indexing outputs. The tool aims to be cost-effective by eliminating dependency on costly cloud-based models and offers flexible querying options for global, local, and direct chat queries.
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graphrag-visualizer
GraphRAG Visualizer is an application designed to visualize Microsoft GraphRAG artifacts by uploading parquet files generated from the GraphRAG indexing pipeline. Users can view and analyze data in 2D or 3D graphs, display data tables, search for specific nodes or relationships, and process artifacts locally for data security and privacy.
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aihwkit
The IBM Analog Hardware Acceleration Kit is an open-source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence. It consists of two main components: Pytorch integration and Analog devices simulator. The Pytorch integration provides a series of primitives and features that allow using the toolkit within PyTorch, including analog neural network modules, analog training using torch training workflow, and analog inference using torch inference workflow. The Analog devices simulator is a high-performant (CUDA-capable) C++ simulator that allows for simulating a wide range of analog devices and crossbar configurations by using abstract functional models of material characteristics with adjustable parameters. Along with the two main components, the toolkit includes other functionalities such as a library of device presets, a module for executing high-level use cases, a utility to automatically convert a downloaded model to its equivalent Analog model, and integration with the AIHW Composer platform. The toolkit is currently in beta and under active development, and users are advised to be mindful of potential issues and keep an eye for improvements, new features, and bug fixes in upcoming versions.
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stable-diffusion.cpp
The stable-diffusion.cpp repository provides an implementation for inferring stable diffusion in pure C/C++. It offers features such as support for different versions of stable diffusion, lightweight and dependency-free implementation, various quantization support, memory-efficient CPU inference, GPU acceleration, and more. Users can download the built executable program or build it manually. The repository also includes instructions for downloading weights, building from scratch, using different acceleration methods, running the tool, converting weights, and utilizing various features like Flash Attention, ESRGAN upscaling, PhotoMaker support, and more. Additionally, it mentions future TODOs and provides information on memory requirements, bindings, UIs, contributors, and references.
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freeciv-web
Freeciv-web is an open-source turn-based strategy game that can be played in any HTML5 capable web-browser. It features in-depth gameplay, a wide variety of game modes and options. Players aim to build cities, collect resources, organize their government, and build an army to create the best civilization. The game offers both multiplayer and single-player modes, with a 2D version with isometric graphics and a 3D WebGL version available. The project consists of components like Freeciv-web, Freeciv C server, Freeciv-proxy, Publite2, and pbem for play-by-email support. Developers interested in contributing can check the GitHub issues and TODO file for tasks to work on.
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Model-References
The 'Model-References' repository contains examples for training and inference using Intel Gaudi AI Accelerator. It includes models for computer vision, natural language processing, audio, generative models, MLPerf™ training, and MLPerf™ inference. The repository provides performance data and model validation information for various frameworks like PyTorch. Users can find examples of popular models like ResNet, BERT, and Stable Diffusion optimized for Intel Gaudi AI accelerator.
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Trinity
Trinity is an Explainable AI (XAI) Analysis and Visualization tool designed for Deep Learning systems or other models performing complex classification or decoding. It provides performance analysis through interactive 3D projections that are hyper-dimensional aware, allowing users to explore hyperspace, hypersurface, projections, and manifolds. Trinity primarily works with JSON data formats and supports the visualization of FeatureVector objects. Users can analyze and visualize data points, correlate inputs with classification results, and create custom color maps for better data interpretation. Trinity has been successfully applied to various use cases including Deep Learning Object detection models, COVID gene/tissue classification, Brain Computer Interface decoders, and Large Language Model (ChatGPT) Embeddings Analysis.
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starter-applets
This repository contains the source code for Google AI Studio's starter apps — a collection of small apps that demonstrate how Gemini can be used to create interactive experiences. These apps are built to run inside AI Studio, but the versions included here can run standalone using the Gemini API. The apps cover spatial understanding, video analysis, and map exploration, showcasing Gemini's capabilities in these areas. Developers can use these starter applets to kickstart their projects and learn how to leverage Gemini for spatial reasoning and interactive experiences.
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zenu
ZeNu is a high-performance deep learning framework implemented in pure Rust, featuring a pure Rust implementation for safety and performance, GPU performance comparable to PyTorch with CUDA support, a simple and intuitive API, and a modular design for easy extension. It supports various layers like Linear, Convolution 2D, LSTM, and optimizers such as SGD and Adam. ZeNu also provides device support for CPU and CUDA (NVIDIA GPU) with CUDA 12.3 and cuDNN 9. The project structure includes main library, automatic differentiation engine, neural network layers, matrix operations, optimization algorithms, CUDA implementation, and other support crates. Users can find detailed implementations like MNIST classification, CIFAR10 classification, and ResNet implementation in the examples directory. Contributions to ZeNu are welcome under the MIT License.
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Detection-and-Classification-of-Alzheimers-Disease
This tool is designed to detect and classify Alzheimer's Disease using Deep Learning and Machine Learning algorithms on an early basis, which is further optimized using the Crow Search Algorithm (CSA). Alzheimer's is a fatal disease, and early detection is crucial for patients to predetermine their condition and prevent its progression. By analyzing MRI scanned images using Artificial Intelligence technology, this tool can classify patients who may or may not develop AD in the future. The CSA algorithm, combined with ML algorithms, has proven to be the most effective approach for this purpose.
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Awesome-AIGC-3D
Awesome-AIGC-3D is a curated list of awesome AIGC 3D papers, inspired by awesome-NeRF. It aims to provide a comprehensive overview of the state-of-the-art in AIGC 3D, including papers on text-to-3D generation, 3D scene generation, human avatar generation, and dynamic 3D generation. The repository also includes a list of benchmarks and datasets, talks, companies, and implementations related to AIGC 3D. The description is less than 400 words and provides a concise overview of the repository's content and purpose.
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AIOsense
AIOsense is an all-in-one sensor that is modular, affordable, and easy to solder. It is designed to be an alternative to commercially available sensors and focuses on upgradeability. AIOsense is cheaper and better than most commercial sensors and supports a variety of sensors and modules, including: - (RGB)-LED - Barometer - Breath VOC equivalent - Buzzer / Beeper - CO² equivalent - Humidity sensor - Light / Illumination sensor - PIR motion sensor - Temperature sensor - mmWave / Radar sensor Upcoming features include full voice assistant support, microphone, and speaker. All supported sensors & modules are listed in the documentation. AIOsense has a low power consumption, with an idle power consumption of 0.45W / 0.09A on a fully equipped board. Without a mmWave sensor, the idle power consumption is around 0.11W / 0.02A. To get started with AIOsense, you can refer to the documentation. If you have any questions, you can open an issue.
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tank-royale
Robocode Tank Royale is a programming game where the goal is to code a bot in the form of a virtual tank to compete against other bots in a virtual battle arena. The player is the programmer of a bot, who will have no direct influence on the game him/herself. Instead, the player must write a program with the logic for the brain of the bot. The program contains instructions to the bot about how it should move, scan for opponent bots, fire its gun, and how it should react to various events occurring during a battle. The name **Robocode** is short for "Robot code," which originates from the original/first version of the game. **Robocode Tank Royale** is the next evolution/version of the game, where bots can participate via the Internet/network. All bots run over a web socket. The game aims to help you learn how to program and improve your programming skills, and have fun while doing it. Robocode is also useful when studying or improving machine learning in a fast-running real-time game. Robocode's battles take place on a "battlefield," where bots fight it out until only one is left, like a Battle Royale game. Hence the name **Tank Royale**. Note that Robocode contains no gore, blood, people, and politics. The battles are simply for the excitement of the competition we appreciate so much.
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kantv
KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.