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DiffDRR

imported

software/diffdrr

Auto-differentiable digitally reconstructed radiographs in PyTorch

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
2d-3d-registration · 3d-reconstruction · differentiable-rendering · digitally-reconstructed-radiograph · medical-imaging
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.

  • SAX-NeRF3d-reconstruction · medical-imaging

    "Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis

  • DermSynth3Ddifferentiable-rendering

    Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich…

sources
  1. api.github.com/repos/eigenvivek/DiffDRR
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-11, 284 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/62.json→ .entries["diffdrr"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.