{
  "benchmark": "L3-004 (CACTI) \u2014 InverseNet SCI Video Benchmark",
  "citation": "Yuan et al. CACTI, Yang et al. SCI Video Benchmark",
  "generated_by": "scripts/generate_demos.py",
  "how_to_run": "python3 pwm-team/pwm_product/reference_solvers/cacti/cacti_pnp_admm.py --input pwm-team/pwm_product/demos/cacti/sample_06 --output /tmp/out",
  "reference_solver": "pwm-team/pwm_product/reference_solvers/cacti/cacti_pnp_admm.py",
  "reference_solver_psnr_db": 10.99,
  "scene_id": "aerial",
  "sha256": {
    "ground_truth.npz": "eb2b7bd89e05649160cbfc2ddfc62aeb856fdb05ceb69b402ec5760e205d4036",
    "snapshot.npz": "6132b74ec52b5754fad35623aefe6e486c0370b23cf2dcfb600ad1a0b1d0da2a",
    "solution.npz": "fcb6ab5a4a64b2e6b25160a7cdc1d42b8e6dd39fe5196c506e0e925959867227"
  },
  "shape_ground_truth": [
    8,
    256,
    256
  ],
  "shape_snapshot": [
    256,
    256
  ],
  "shape_solution": [
    8,
    256,
    256
  ],
  "solver_elapsed_sec": 1.4,
  "solver_iterations": 12,
  "source_dataset": "SCI Video Benchmark (Kobe/Traffic/Runner/Drop/Crash/Aerial); Liu et al. 2019 + Yuan et al. Bell Labs; redistributed in every major SCI paper (PnP-FFDNet, STFormer, EfficientSCI, DeepBC, BIRNAT).",
  "source_mat": "aerial32_cacti.mat",
  "tier_approx": "T1_nominal"
}