LongSplat
Run longsplat locally: [iccv 2025] longsplat: robust unposed 3d gaussian splat.
resplatは、cvgが公開しているオープンソースのAI 3Dプロジェクトです(GitHub: cvg/resplat)。GitHubスターは365、フォークは35で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年8月21日です。
Recurrent Gaussian Splatting from an ECCV spotlight paper.
Start at the project page.
Get the official implementation.
Follow the README.
Run the method on your data.
Splats improve over observations.
Top-tier peer-reviewed work.
From the paper authors.
Accessible research code.
Permissive for reuse.
Paper and results online.
Download the official implementation.
git clone https://github.com/cvg/resplat.git
cd resplatSet up the Python environment.
pip install -r requirements.txtFollow the README training steps.
# see README for data prep and launchRecurrent Gaussian Splatting from an ECCV 2026 spotlight, at cvg/resplat.
The model refines splats across repeated observations.
It is research code; follow the README.
Yes. MIT licensed.
Linked from the project page.
Run longsplat locally: [iccv 2025] longsplat: robust unposed 3d gaussian splat.
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