This is the Linux app named Fast3R whose latest release can be downloaded as fast3rsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Fast3R with OnWorks for free.
Befolgen Sie diese Anweisungen, um diese App auszuführen:
- 1. Diese Anwendung auf Ihren PC heruntergeladen.
- 2. Geben Sie in unserem Dateimanager https://www.onworks.net/myfiles.php?username=XXXXX den gewünschten Benutzernamen ein.
- 3. Laden Sie diese Anwendung in einem solchen Dateimanager hoch.
- 4. Starten Sie den OnWorks Linux-Online- oder Windows-Online-Emulator oder den MACOS-Online-Emulator von dieser Website.
- 5. Rufen Sie vom gerade gestarteten OnWorks Linux-Betriebssystem aus unseren Dateimanager https://www.onworks.net/myfiles.php?username=XXXXX mit dem gewünschten Benutzernamen auf.
- 6. Laden Sie die Anwendung herunter, installieren Sie sie und führen Sie sie aus.
SCREENSHOTS
Ad
Fast3R
BESCHREIBUNG
Fast3R is Meta AI’s official CVPR 2025 release for “Towards 3D Reconstruction of 1000+ Images in One Forward Pass.” It represents a next-generation feedforward 3D reconstruction model capable of producing dense point clouds and camera poses for hundreds to thousands of images or video frames in a single inference pass—eliminating the need for slow, iterative structure-from-motion pipelines. Built on PyTorch Lightning and extending concepts from DUSt3R and Spann3r, Fast3R unifies multi-view geometry, depth estimation, and camera registration within a single transformer-based architecture. It outputs high-quality 3D scene representations from unordered or sequential views, scaling to large datasets and varied camera intrinsics. The repository includes pretrained models, Gradio-based demos, and modular APIs for direct integration into research or production workflows.
Eigenschaften
- Supports distributed multi-node training and evaluation via Slurm
- Exportable 3D point clouds and depth maps for downstream rendering or scene understanding
- Evaluation support for DTU, 7-Scenes, NeuralRGBD, Tanks & Temples, CO3D, and RealEstate10K
- Compatible with DUSt3R and Spann3r dataset preprocessing formats
- Full PyTorch and Lightning training pipelines with Hydra-based configuration
- Pretrained weights downloadable from Hugging Face
Programmiersprache
Python
Kategorien
This is an application that can also be fetched from https://sourceforge.net/projects/fast3r.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
