Comments (5)
davnov134
commented on September 22, 2024
Hi yes, we are planning to release the code by the end of January.
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AndyTang15
commented on September 22, 2024
Many thanks for your reply. Looking forward to it!
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pwais
commented on September 22, 2024
will there be codes?
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pwais
commented on September 22, 2024
@davnov134 perhaps you mean Implicitron? facebookresearch/pytorch3d#1133 What about weights for Nerformer?
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shapovalov
commented on September 22, 2024
@pwais Yes, the reference implementation is released in Implicitron, you can use repro_multiseq_nerformer.yaml config to reproduce the results with implicitron_trainer: https://github.com/facebookresearch/pytorch3d/tree/main/projects/implicitron_trainer .
We are still working on Implicitron’s API; we plan to release the weights once the API is stable (we aim for June-July).
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Related Issues (20)
- Pytorch independent usage convention HOT 2
- Is it possible to download only one category? HOT 2
- Camera Position Plots Don't Seem to Match Expected Circular Motion HOT 3
- Missing depth information for apple HOT 1
- Difference between v1 and v2 HOT 1
- How to only get 3d point Cloud? HOT 1
- Camera Intrinsic parameter HOT 2
- Filter accurate pointclouds HOT 6
- CO3D Depth Unit HOT 1
- Confusion about the camera extrinsics HOT 2
- How can i get distortion coefficient? HOT 1
- Dataset index sequence_frames_in_order HOT 3
- Co3D depth warping HOT 1
- Contents of Single-Sequence Subset Compared to Full Dataset
- Generating camera poses using Colmap
- Format of camera poses listed in frame_annotations.jgz HOT 1
- Scale in co3d annotation file HOT 1
- Predicted camera poses evaluation HOT 2
- How to compute the rescale_factor when we zero-centered every point ?
- dataset/links.txt
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