LongSplat
Run longsplat locally: [iccv 2025] longsplat: robust unposed 3d gaussian splat.
resplat — проект с открытым исходным кодом из категории «ИИ 3D» от cvg (cvg/resplat на GitHub). У него 365 звёзд на GitHub и 35 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 21 августа 2026.
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.
A utility for eCCV'24 Oral] MVSplat.
DiffSplat, in Python — built for [iclr 2025] official implementation of "diffsplat: repu.
Mesh-in-the-loop Gaussian Splatting from a SIGGRAPH Asia paper.
[ECCV 2024] MVSGaussian: Quick Generalizable Gaussian Splatting Reconstruction
Feed-forward 3D from images: Gaussian splatting meets depth.
Другие проекты из категории «ИИ 3D» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если resplat вам не подходит.
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Соседние проекты из категории «ИИ 3D» в каталоге, ближайшие по числу звёзд к resplat — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.