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Autonomous AI trading agent spanning 1000+ markets, from Polymarket to Solana DEXs.
LongSplat é um projeto de IA 3D de código aberto de NVlabs (NVlabs/LongSplat no GitHub). Tem 811 estrelas no GitHub e 51 forks, é publicado sob a licença NOASSERTION e foi atualizado pela última vez no GitHub em 19 de janeiro de 2026.
Run longsplat locally: [iccv 2025] longsplat: robust unposed 3d gaussian splat.
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around 3d gaussian splatting for a focused workflow.
Built around 3d reconstruction for a focused workflow.
Built around computer graphics for a focused workflow.
Built around computer vision for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/NVlabs/LongSplat.gitSet up Python dependencies.
cd LongSplat && pip install -r requirements.txtLaunch the application.
cd LongSplat && python main.pyIt builds 3D scenes from long casual videos using Gaussian splatting, without requiring precomputed camera poses.
Yes — the code is publicly available, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
Autonomous AI trading agent spanning 1000+ markets, from Polymarket to Solana DEXs.
Documentation repository for ForkSilly.
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Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
Run visionary locally: the world model carrier built on webgpu-powered gaussia.
(ICCV 2025) GaussianOcc: Entirely Self-supervised and Efficient 3D Occupancy
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Render Gaussian Splats using Metal on Apple platforms (iOS/iPhone/iPad.
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
3D Model Viewer with support for glTF and 3D Gaussian Splats.
File format designed for 3D Gaussian splats.
Orchestrate complete 3D generation pipelines — from text-to-image, image editing, mesh generation, UV unwrapping, to texturing — all in a single visual works…
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.