LibGS

ffgs — standard inference for feed-forward 3D Gaussian Splatting models. Posed (or unposed) images in, 3D Gaussians out, behind one GSPipeline.from_pretrained for every model.

pip install --pre ffgs            # inference
pip install --pre "ffgs[render]"  # + gsplat rasterisation (CUDA)

from ffgs import GSPipeline, Views

pipe = GSPipeline.from_pretrained("anysplat/default", device="cuda")
out = pipe(Views(images))                     # unposed images -> Gaussians + cameras
out.gaussians.save_ply("scene.ply")           # standard 3DGS ply

Models

ffgs loads the authors' own checkpoints from their Hub repos (pinned to a commit and a sha256); it does not re-host weights.

model weights poses license (weights)
TokenGS jiaweir/tokengs required NVIDIA research license (non-commercial)
AnySplat lhjiang/anysplat optional non-commercial (fine-tuned from VGGT-1B, CC BY-NC 4.0)

Each model's page — sources, zoo entries, usage, and agreement with the official code: docs/models.

Links