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its live on - 200+ Material - 3D model ( more soon...) - Your own Custom Material / Model - 2D Editor UI/UX improvement with scale - Set Overlay reference Scale - Support for Tablets - and much more... #threejs #buildinpublic #r3f

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Sudhir

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40,791 görüntüleme • 5 ay önce •via X (Twitter)

#threejs#buildinpublic#r3f
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▵ Triplex is the React Three Fiber editor where your code is the source of truth! ✨ v0.58.0 has released, sound on! 🔊 🌏 Set provider component props in the UI 🐥 Edit child elements without leaving your open file 😍 Much more #threejs #r3f #reactjs
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▵ Triplex is the React Three Fiber editor where your code is the source of truth! ✨ v0.58.0 has released, sound on! 🔊 🌏 Set provider component props in the UI 🐥 Edit child elements without leaving your open file 😍 Much more #threejs #r3f #reactjs

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Palette and I hoping to release our 3D customizable vtuber model late October/early November! This model will include a lot of custom tech along with it's own UI built in to the Warudo editor✨ We feel so lucky to have the opportunity to make 3D vtubing more accessible! 🩷 This project makes us so happy -^u^-

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RTFM can be seen as a learned renderer: it is an autoregressive diffusion transformer trained end-to-end on large-scale video data, and it learns to model 3D geometry, reflections, shadows and more just by observing them in its training set.
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RTFM can be seen as a learned renderer: it is an autoregressive diffusion transformer trained end-to-end on large-scale video data, and it learns to model 3D geometry, reflections, shadows and more just by observing them in its training set.

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⭐3D MODEL GIVEAWAY⭐ Thank you so much for 200+ followers!! ⭐To Enter⭐ Follow | Like | RT Optional - Comment your reference ⭐Ends April 10⭐ More info in the video #VTuber #VtuberEN #3DModel #Giveaway
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⭐3D MODEL GIVEAWAY⭐ Thank you so much for 200+ followers!! ⭐To Enter⭐ Follow | Like | RT Optional - Comment your reference ⭐Ends April 10⭐ More info in the video #VTuber #VtuberEN #3DModel #Giveaway

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Introducing Passmark: an open-source AI agent purpose-built for regression testing at scale. Built on Playwright: natural language tests, multi-model assertions, smart caching, telemetry, AI gateway support and more! github: bug0inc/passmark
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Introducing Passmark: an open-source AI agent purpose-built for regression testing at scale. Built on Playwright: natural language tests, multi-model assertions, smart caching, telemetry, AI gateway support and more! github: bug0inc/passmark

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Little teaser for some fun stuff! Got my custom sound script working, and so much more for my up coming 3D debut. (Its my old 3D model so dont worry no spoilers there!) can't wait to show you guys what i've been cooking!!!! I've been pumping in so much work for this!

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I vibe coded a ThreeJS world editor with GPT 5.4 in 48 hours from scratch Open Source, MIT Features: - Integrated AI texture generation - AI model generator - Vertex/Edge/Face Editing - Physics and a Player Controller to test the world - Export (glb) - Pretty much everything essential trenchbroom and hammer offer (brushes, presets, extrude, arc, fill, flip normals, material browser, inflate, deflate,...) - Split View (2D orthogonal) yes, that is dust2 enjoy 😊

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I created my own custom water material and underwater post process material in UEFN! It uses distance fields to create foam and ripples around objects on the surface and I can also add algae/pondscum to the surface. I plan on adding more features to this material soon! For underwater, I project a caustics material along surface normals in the underwater post process material as well as using scene depth to make things up close appear clear and things farther away appear not as clear. #UEFN #Fortnite

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This is Scene Editor. Running on Flutter 3.47 stable. Flutter is excellent for building serious 3D desktop apps. Powered entirely by Flutter's built-in graphics stack, Flutter GPU and Impeller. No forks, no platform views, no external rendering contexts. Scene Editor is just a vanilla Flutter application. Build 3D apps for macOS, Linux, Windows, iOS, Android, Web, and custom embedders. Non-destructive importing, overrides on nested prefabs, live material and shader editing, custom gizmos, and component inspectors you define with property annotations. It watches the filesystem, and custom components you write become instantly available in the editor upon saving. Configure, build, and run your live app without leaving it. Flutter is now 3D.
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This is Scene Editor. Running on Flutter 3.47 stable. Flutter is excellent for building serious 3D desktop apps. Powered entirely by Flutter's built-in graphics stack, Flutter GPU and Impeller. No forks, no platform views, no external rendering contexts. Scene Editor is just a vanilla Flutter application. Build 3D apps for macOS, Linux, Windows, iOS, Android, Web, and custom embedders. Non-destructive importing, overrides on nested prefabs, live material and shader editing, custom gizmos, and component inspectors you define with property annotations. It watches the filesystem, and custom components you write become instantly available in the editor upon saving. Configure, build, and run your live app without leaving it. Flutter is now 3D.

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Welcome to Crunchycurl!🐾 We are making harnesses with many options for color, material and more to customize it, such as: - Paw print rings&buckles - Embroidery & Velcro patches - Multi-color options Configure your own custom harness on our website!
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Welcome to Crunchycurl!🐾 We are making harnesses with many options for color, material and more to customize it, such as: - Paw print rings&buckles - Embroidery & Velcro patches - Multi-color options Configure your own custom harness on our website!

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Using 3D assets with Gen-4 References is a simple way to bring highly detailed and specific models into your generative workflows for even more consistency and control. To do so, simply provide a location plate, a quick comp of your 3D model in that space and a style reference.
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Using 3D assets with Gen-4 References is a simple way to bring highly detailed and specific models into your generative workflows for even more consistency and control. To do so, simply provide a location plate, a quick comp of your 3D model in that space and a style reference.

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🚀 Hunyuan 3D 2.1 is here! The first fully open-source, production-ready PBR 3D generative model! ✅Cinema-grade visuals: PBR material synthesis brings leather, bronze, and more to life with stunning light interactions. ✅ Fully open-source: Model weights, training/inference code, data pipelines, and architecture—yours to fine-tune! ✅ Runs on consumer GPUs, empowering creators, devs, and small teams. Be the first to shape the future of 3D! Download now and build something epic. Model: Demo: Github: Hunyuan 3D Creation Engine: #Hunyuan3D #OpenSource #3DCreation

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Promised 3D model raffle for 2+k followers!! 🥳✨ Thank you so much!! 🥹💜 RULES: - RT + Follow me - Comment (or upload into google form below) your reference Any gender or species welcome! 🫶 Ends 1.9.2024 More info and TOS and form below ⬇️

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Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything. I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific. Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting. #art #ai

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Upcoming Releases for Alchemist AI We’re rolling out a series of infrastructure and product upgrades to further enhance the Alchemist AI platform: • New Generation Pipeline Improved orchestration, lower latency, and optimized resource handling for faster and more scalable world generation. • 3D Engine Enhancements Upgraded rendering capabilities, improved material fidelity, and smoother in-app performance across devices. • App Testing Agent Automated simulation and behavioral testing across generated environments to ensure logic consistency and playability. • Expanded 3D Model Library Hundreds of new assets added across key categories, optimized for real-time use and fully integrated into the creation workflow. • Texturized 3D Model Generation Models now ship with context-aware textures and material mapping, reducing setup time and enhancing visual realism.

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It has been 1000 days since Russia launched its full-scale invasion on Ukraine. Parliament has stood and will continue to stand with Ukraine for as long as it takes. Watch the video to learn more about Parliament's unwavering support to the country and its people ↓

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What happens when robot world models learn from human experience at scale? 🤔 DreamDojo from NVIDIA Research is a generalist robot world model pretrained on 44K hours of egocentric human videos and then post-trained on robot data to generalize across new objects and environments. After distillation, it runs at 10 FPS for live teleoperation, policy evaluation, and model-based planning. Read the ICML paper to learn more 📄
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What happens when robot world models learn from human experience at scale? 🤔 DreamDojo from NVIDIA Research is a generalist robot world model pretrained on 44K hours of egocentric human videos and then post-trained on robot data to generalize across new objects and environments. After distillation, it runs at 10 FPS for live teleoperation, policy evaluation, and model-based planning. Read the ICML paper to learn more 📄

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🚀 Meta FAIR is releasing several new research artifacts on our road to advanced machine intelligence (AMI). These latest advancements are transforming our understanding of perception. 1️⃣ Meta Perception Encoder: A large-scale vision encoder that excels across several image & video tasks. 2️⃣ Meta Perception Language Model: A fully open & reproducible vision-language model designed to tackle visual recognition tasks. 3️⃣ Meta Locate 3D: An end-to-end model for accurate object localization in 3D environments. 4️⃣ Releasing model weights for our 8B-parameter Dynamic Byte Latent Transformer, an alternative to traditional tokenization methods with the potential to redefine the standards for language model efficiency and reliability. 5️⃣Collaborative Reasoner: A framework for evaluating & improving collaborative reasoning skills in language models. Download the code, datasets, and research papers and learn more about how these artifacts are paving the way for more efficient and accurate AI systems.➡️

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PI'S HUMAN WORKFORCE DEMONSTRATES 100% EFFICIENCY Pi Network (Pi Network) confirmed that its decentralized workforce of one million identity-verified humans provides massive-scale throughput across its ecosystem. This distributed infrastructure has already processed 526 million tasks, accomplishing accurate and efficient verification for over 18 Million Pioneers in more than 200 countries and regions. AI companies can now access this workforce to eliminate bot-driven fraud, with all micropayments settled in $PI or custom tokens via the Pi Launchpad. With compensation supported in Pi, or in a company’s own token through Pi Launchpad, Pi Network’s model opens a new way to align work, incentives, and ecosystem growth.

BSCN

24,392 görüntüleme • 4 ay önce