DeepInverse benchmark suite
A unified PyTorch benchmark harness covering CT, MRI, deblurring and inpainting, with reproducible metrics and pretrained baselines — the most practical way to compare a new CT method against strong generic solvers.
| Type | Benchmark |
|---|---|
| Tasks | reconstruction, benchmarking |
| Year | 2024 |
| Official page | https://deepinv.github.io/ |
Related topics
Topic pages that list this entry among their datasets and benchmarks.
Everything on this page comes from the directory record (last content update 2026-10-16). Licence terms and access conditions can change: check the official page before you download or redistribute the data.