splaTV, developed by Kevin Kwok, is a browser-based implementation... for experiencing dynamic Gaussian Splatting with Spacetime Gaussians. This newly released application supports both WebGL and WebXR technologies and is available under the MIT License. 🔗show more

The first public dynamic Gaussian Splatting implementation in VR... is here from San Francisco based Gmix, compatible with WebXR and Apple Vision Pro. 🔗show more

MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting Contributions:... • MoE-GS: the first dynamic Gaussian splatting framework employing a Mixture-of-Experts architecture, enabling robust and adaptive reconstruction across diverse dynamic scenes. • A novel Volume-aware Pixel Router integrates expert outputs through differentiable weight splatting, achieving spatially and temporally coherent adaptive blending. • Efficiency of MoE-GS is improved through single-pass multi-expert rendering and gate-aware Gaussian pruning. A separate knowledge distillation strategy trains individual experts with pseudo-labels from the MoE model, enhancing quality without modifying the architecture.show more

Some personal news! 📣 Recently, I joined Niantic as... the product lead to work on MR apps and Gaussian splatting! Today, we’re launching “Into The Scaniverse”—A way of viewing Scaniverse splats in VR (yours and the ones posted to the map) 📸 It’s available as a webxr app via Quest Browser (for Q3 and Q3S), soon to launch in the Meta Horizon store. Honored to be working with quite a lot of brilliant folks at Niantic 🙌 Link to the webxr app 👇show more

My C++ 3DGS implementation has transitioned to the gsplat... backend and is now licensed under Apache 2.0. - Supports MCMC densification by default. - Includes a fused bilateral grid implementation. - A basic viewer, contributed by the community, is available with more features in development. - Runs in headless mode. Exciting plans are underway for the project's evolution over the sumner. Check it out!show more

[SIGGRAPH ASIA '25] Detail-Enhanced Gaussian Splatting for Large-Scale Volumetric... Capture Contributions: - A two-stage approach to performance capture, combining a scene-scale capture rig and a single-actor facial capture rig. - A novel high-quality scene-scale volumetric performance capture rig, incorporating both static and dynamic cameras to track the performance of multiple actors. - A reconstruction pipeline for dynamic performance capture, featuring stable calibration of moving cameras and 4DGS with improved dynamic range and color fidelity. - A detail enhancement Diffusion Model, which supports 4K, RGB, and Alpha, with improved temporal stability.show more

Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic... Gaussians paper page: Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups. In this paper, we propose Gaussian Head Avatar represented by controllable 3D Gaussians for high-fidelity head avatar modeling. We optimize the neutral 3D Gaussians and a fully learned MLP-based deformation field to capture complex expressions. The two parts benefit each other, thereby our method can model fine-grained dynamic details while ensuring expression accuracy. Furthermore, we devise a well-designed geometry-guided initialization strategy based on implicit SDF and Deep Marching Tetrahedra for the stability and convergence of the training procedure. Experiments show our approach outperforms other state-of-the-art sparse-view methods, achieving ultra high-fidelity rendering quality at 2K resolution even under exaggerated expressions.show more

V-Ray is now available for free to Blender users... under the new Community Edition license, suitable for both personal and commercial projects. Learn more and get it here:show more

This is RICULOUSLY good, TRELLIS 3D Generation model by... Microsoft! 🔥 Generate high-quality 3D assets from text or image prompts. Supports various formats like Radiance Fields, 3D Gaussians, and meshes Available for FREE on Hugging Face!show more

Gaussian splatting is so good at capturing context. For... me, it has changed my approach to volumetric photography. For me with photogrammetry, it was very much either object-based, space based, or facade-based, always with the subject’s bounds being very clearly defined during capture But with splats, I can think more frustum-based, composing a scene with a foreground, background, and subject, and shooting it. It gives me back the freedom I had with traditional photographyshow more

Apple just trained a 3D Gaussian head reconstruction model... on 10,000+ subjects. Feed-forward. No test-time optimization. New identity in, reconstructed Gaussian head out. The UV-parameterized Gaussian representation decouples the number of Gaussians from the number and resolution of input images, making it practical to train with many high resolution views. And the heads are not just static either: text-conditioned identity generation, plus blendshape-driven latent animation across identities. We've been building in the 3D Gaussian Splatting space for a while. The gap between "research demo" and "works on real people at scale" is closing fast.show more

OPENAI 🔥: Codex now supports Chrome DevTools Protocol for... browser use. This is a huge superpower that will allow Codex to inspect and modify any website. It is still a very early implementation, but I bet that in several years this will be a default browser capability. If websites are loaded through AI, users will be able to customize their UX on the fly. This is the way 👀show more

DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from... In-the-Wild Drone Imagery Abstract: Drones have become essential tools for reconstructing wild scenes due to their outstanding maneuverability. Recent advances in radiance field methods have achieved remarkable rendering quality, providing a new avenue for 3D reconstruction from drone imagery. However, dynamic distractors in wild environments challenge the static scene assumption in radiance fields, while limited view constraints hinder the accurate capture of underlying scene geometry. To address these challenges, we introduce DroneSplat, a novel framework designed for robust 3D reconstruction from in-the-wild drone imagery. Our method adaptively adjusts masking thresholds by integrating local-global segmentation heuristics with statistical approaches, enabling precise identification and elimination of dynamic distractors in static scenes. We enhance 3D Gaussian Splatting with multi-view stereo predictions and a voxel-guided optimization strategy, supporting high-quality rendering under limited view constraints. For comprehensive evaluation, we provide a drone-captured 3D reconstruction dataset encompassing both dynamic and static scenes. Extensive experiments demonstrate that DroneSplat outperforms both 3DGS and NeRF baselines in handling in-the-wild drone imagery.show more

Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction... Note: Check below for full video. Abstract (cited): "In this paper, we present a self-calibrating framework that jointly optimizes camera parameters, lens distortion, and 3D Gaussian representations, enabling accurate and efficient scene reconstruction. Our technique is particularly effective for high-quality scene reconstruction from large field-of-view (FOV) imagery taken with wide-angle lenses, allowing the scene to be modeled from a smaller number of images. We introduce a novel method for modeling complex lens distortions using a hybrid network that combines invertible residual networks with explicit grids. This design effectively regularizes the optimization process, achieving greater accuracy than conventional camera models. Additionally, we propose a cubemap-based resampling strategy to support large FOV images without sacrificing resolution or introducing distortion artifacts. Our method is compatible with the fast rasterization of Gaussian Splatting, adaptable to a wide variety of camera lens distortions, and demonstrates state-of-the-art performance on both synthetic and real-world datasets."show more

First fully ML-framework-free 3D Gaussian Splatting implementation in LichtFeld... Studio. I’ve completed the migration of the full training pipeline to a custom CUDA-based tensor library. No PyTorch, no LibTorch, no autograd. Every gradient is implemented by hand, either through CUDA kernels or minimal abstractions on top. This makes it the first full training setup for 3D Gaussian Splatting with zero dependencies on existing ML frameworks. It’s not just about independence, it's about control! We now manage every byte of GPU memory, which opens the door to tighter optimization and finer performance tuning. The framework footprint is minimal, without pulling in gigabytes of ML runtime code that was never designed for real-time or graphics-driven applications. A few modules, such as the metrics and 3DGUT interfaces, are still being ported, and some operations are temporarily naïve, so performance is not yet on par with master. But this refactor lays the groundwork for: - A fully self-contained binary - Fine-grained memory optimization - Easier experimentation without the weight of an ML stack We’re getting close.show more

The legendary FPS series Painkiller returns with a new... entry developed by Anshar Studios and published by 3D Realms, set for release on October 21 A demo is available now on Steam during Next Fest.show more

New InternVL drop with a sota 78B model with... MIT license 🔥 The release comes with seven new vision LMs based on InternViT 300M/6B and Qwen2.5 and InternLM2 in different sizes ✨ 78B model is of InternViT 6B and Qwen2.5-72B Instruct, can accomplish variety of tasks 👏show more

call me crazy but there is no way this... is a live2d model... specifically look at the eyes and mouth. it looks like a realtime ai filter based on the thumbnail illustration & being 'piloted' by the VA :( if this is the case, this is both scary and disappointing TTshow more

I am so happy to announce my First EP... ‘Say What You Want’ under Fiction Records. I’m so proud of this collection of songs and I can’t wait for you to hear them. Pre-save and Vinyl Pre-order is available now. Vinyl is to be released on the 14th November. Note: ‘Let’s Go Dancing’ is a vinyl exclusive for now. The pre-save link and Vinyl pre-order link are both available in my bio. 🎥 katieshow more

✨ From Mesh to 3D Gaussians - Shaded in... Deferred Style ✨ By Stefano Scolari (with link to repo in the comment) When converting a mesh to 3DGS model, the Gaussians are embedded with PBR properties and normal info during conversion. This prepares them for shading, similar to traditional geometry. In this scenario, Stefano used a deferred approach for shading to demonstrate how seamlessly it translates from triangle-based pipelines. 🔥 Fun fact: The mesh-to-splat conversion only needs to occur once, but it's so fast you could actually run it every frame. Here’s the full pipeline: - Mesh-to-splat conversion pass - Depth pre-pass - Sort - Gaussian pre-pass (projective computations, etc.) - GBuffer rendering pass - Shadow pass - Deferred lighting pass This is the same classic deferred pipeline, but with Gaussians instead of triangles. Real-time relighting of converted assets? Totally possible.show more