Datasets:

ForenlyAI
/

ppisp-ablation

license: cc-by-4.0
pretty_name: PPISP Scene→Sim Ablation (OFF vs ON)
task_categories:
  - image-to-image
tags:
  - 3d-reconstruction
  - gaussian-splatting
  - radiance-fields
  - novel-view-synthesis
  - ppisp
  - nvidia
  - scene-to-sim
  - physical-ai
size_categories:
  - n<1K

PPISP Scene→Sim Ablation — OFF vs ON

Evaluation renders from a single controlled ablation of NVIDIA's PPISP inside Forenly AI's Scene→Sim (real-scene → simulation) pipeline.

What this is

The same real 3-camera capture reconstructed with the same 30,000 training iterations, changing exactly one variable — PPISP off vs on.

Run	Result
PPISP off	hazy, washed-out blur; geometry and colour collapse
PPISP on	sharp, colour-correct, stable — +9.5 dB PSNR

Files

ppisp-off.jpg — reconstruction render, PPISP off
ppisp-on.jpg — reconstruction render, PPISP on
ppisp-sidebyside.jpg — labelled side-by-side (off | on)

Why it matters

In Scene→Sim, reconstruction fidelity is the training ground: a blurry scene is a broken one — geometry the robot can't trust, textures the policy can't read. PPISP targets the photometric artifacts (lighting/colour drift) that break radiance-field and Gaussian-splatting reconstructions; it works across 3DGS, 3DGUT and NeRFs.

Methods benchmarked in this line of work: PPISP · 3DGRUT · 2DGS · GOF.

Method / credit

PPISP is NVIDIA's method for physically-plausible compensation of photometric variations in radiance fields. This card documents an applied ablation, not the original method.

Interactive viewer: Space — ppisp-scene2sim · Study: https://forenly.ai/lab-study/ppisp

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