Sparse allocation/rendering of SDF bricks is now working! The... pipeline is fully GPU-driven - a series of compute shaders that manages brick allocation/baking in a 3D texture atlas, followed by draw-indirect for rendering. Still a lot more work to do, including automatic LOD.show more

Got the BVH (AABB tree) working with a nice... visualization. (The circles and arrows show the hierarchy of the tree.) This is all CPU-side for now, so next is to ship the BVH to the GPU for accelerating SDF brick baking. It's already in a flat buffer so that is straightforward.show more

Getting a bunch of questions about this! It's a... full gpu rendering pipeline with built in shader editor for Rive, which can interleave 2D + 3D. Think WebGPU (minus compute, for now) that runs anywhere, not just the browser. You can implement anything at all. Cell shading. Background blurs. Deformation effects. And yes, even Rive vector components as textures. Shaders are precompiled and ship with your .riv. Minimal runtime size impact. Still WIP.show more

Just the example itself is so fun to play... with! 🔆 I can't wait to pull the code and swap the rendering pipeline to achieve even more cool effects. This is the dream of TypeGPU, AI inference, complex compositing, all on the GPU in a seamless, type-safe pipeline.show more

Realistic hair and fur rendering in EEVEE, is that... of any interest to you as a 3d artist? 🤭 #b3dshow more

Is Google taking initial steps to enhance Street View?... For some reason, Street View seems stuck in technology that feels outdated. I wonder if we'll see such improvements on the product side. Also, note how much better it performs in all aspects compared to Zip-NeRF in their presented material. It offers more details and fewer artifacts. Great work! "LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering" Contributions: • We propose a novel LOD representation for 3DGS which, unlike previous methods [27, 28, 17], does not recompute the list of used Gaussians at each frame. This allows for acceleration and compaction, enabling the rendering of large-scale scenes even on mobile devices. • We design a strategy to automatically select optimal hyperparameters for splitting LODs, whereas most other methods require manual tuning of hyperparameters for each 3D scene. • To further accelerate rendering, we split the scene into chunks and pre-compute sets of active Gaussians per chunk. • Finally, we introduce a novel opacity interpolation scheme to produce visually pleasing rendering and eliminate artifacts when transitioning between chunks.show more

Some things don't need to be complicated. GPU compute... is one of them. Pay only for what you use, nothing more. Find a GPU that works for you today:show more

What was a complex hacky pipeline in 2023 to... take indoor 3d scans and reskin them to different types of decor is now just a few clicks in 2025. World labs marble has collapsed a lot of the complexity involved in generating and editing 3d worlds:show more

Introducing Kaleido💮 from AI at Meta — a universal... generative neural rendering engine for photorealistic, unified object and scene view synthesis. Kaleido is built on a simple but powerful design philosophy: 3D perception is a form of visual common sense. Following this idea, we formulate rendering purely as a sequence-to-sequence generation problem, successfully unifying neural rendering with the architecture principles behind modern language and video models. Unlike traditional neural rendering methods, Kaleido learns 3D purely in a data-driven way, without explicit 3D representations or structures. It acquires spatial understanding directly through large-scale video pretraining, then multi-view 3D data finetuning, inspired by how LLMs acquire textual common sense from large corpora before specialising in domains like coding. Through extensive ablations, we progressively modernised the architecture design and training strategies and tackled key scaling challenges in sequence-to-sequence generative rendering, arriving at a design that’s simple, versatile, and scalable. Kaleido significantly outperforms prior generative models in few-view settings, and remarkably is the first zero-shot generative method matches InstantNGP-level rendering quality in multi-view settings. We view Kaleido also as an alternative step towards world modeling that flexibly spans a spectrum of “realities": with many views, it faithfully reconstructs grounded reality; with fewer views, it imagines plausible unseen details. 🔗 Explore more results and paper:show more

🟢 News: GPU compute in the browser is finally... real. WebGPU now ships by default in Chrome, Firefox, Safari, and Edge—not a polyfill, not behind a flag. You can run LLMs client-side. Transformers.js and ONNX Runtime already ship WebGPU backends. Eight years of spec work. No more asterisks. 🔗 #WebGPU #GPU #Chrome #Safari #Firefox #Edgeshow more

HashPower is evolving to RAX Finance. We are building... the world’s first Financial Layer for AI Compute, a specialized on-chain market where GPU capacity becomes a tradable, yield-bearing RWA. We are backed by the giants of the industry including HashKey Capital, FBG Capital, and more. Institutional grade. DeFi native. A breakdown of the vision 🧵👇show more

#NeRF is the big player nowadays and in the... future 3D universe, but… why #Volinga has too much to do about it? Volinga is the first company that allows rendering NeRF in Unreal Engine 💯. This demo shows a model based on nerfacto by nerfstudio rendered in real-time.show more

The future of ANIME is Breezy. Midnight夏季Breeze is honored... to receive an allocation of $ANIME by Azuki . A statement for the future. Quality comes first. The Lonely Road is paving the way for anime. Stay Breezy, stay bullishshow more

We promised to not change the core experience in... Keystone, and we're sticking by that. But we did think it was worthwhile experimenting with a couple of fun, optional, extras now we have a new rendering engine. What do you think?show more

KVM support is making a lot of progress. MW3... now fully runs on SteamDeck. Without Wine, without Proton. Only using This completely sandboxes the game and provides full security. Performance still needs a lot of work, but it's a smooth startshow more

Dojo is bringing Fluid Cloud Compute to Solana, enabling... the foundation for future computing for worldwide applications. Start Now: In the next 60 days, Dojo will focus on global GPU access, providing a first-of-a-kind cloud framework native to Solana.show more

I've had a chance to try an upcoming photorealistic... Lens Sim plugin for Blender by Håvard Dalen , and in fact I prepared an extensive video review of it that will be out tomorrow. In brief: once Lens Sim is out, photoreal #3d rendering will never be the same. #b3d 🧵 1/?show more

Introducing: DeCloud GPU Marketplace Dear Cloudians, We are thrilled... to introduce another robust addition to the DeCloud Ecosystem, furthering our commitment to promoting decentralization at its pinnacle. The DeCloud GPU Marketplace is a cutting-edge platform designed to revolutionize the way you access and utilize GPU resources for your diverse computational needs. Users can harness the power of GPU resources for a multitude of purposes, including but not limited to: ^Mining various cryptocurrencies ^Utilizing AI/ML learning datasets ^Rendering high-resolution videos and 3D models Decentralization, Safety, and Privacy: At DeCloud, we prioritize decentralization, safety, and privacy. By providing access to different GPU providers and private connections, we ensure a secure and privacy-oriented system for our users. Your data and computational tasks are safeguarded within our decentralized DeCloud ecosystem.show more

3D Gaussian Splatting for Real-Time Radiance Field Rendering paper... page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.show more

Some performance optimizations were done in MW3 now manges... to reach 60 FPS or even more, while being fully sandboxed. Still a lot to optimize, but this is a major milestone. The game is playable now 🥳show more

The Mechanical Calculator by KingTut is a fully mechanical... calculator is designed to solve times tables in seconds. Entirely 3D-printed, it requires no glue, screws, or additional hardware for working.show more