To generate 3D meshes from images via command line, simply run: python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video We userembgto segment the foreground object. If the input image already has an alpha mask, please specify theno_rembgflag: ...
python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video --export_texmapPlease use a different .yaml config file in the configs directory if you hope to use other reconstruction model variants. For example, using the instant-nerf-large model for generation:...
InstantMesh Public InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models Python 3.6k 391 T2I-Adapter Public T2I-Adapter Python 3.6k 216 BrushNet Public [ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Ima...
We have implemented helpful geometry function on mesh/rays/sphere/volume/cam_pose in torch(some in CUDA extension). It could be useful for you in other 3D-related projects as well. We also provide our experiments note on our trails. Tests and Visual helpers: We have developed an interactive...
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FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction - FreeSplatter/app.py at main · TencentARC/FreeSplatter
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InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models - InstantMesh/requirements.txt at main · TencentARC/InstantMesh
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models - TencentARC/InstantMesh