Datasets:
image imagewidth (px) 1.19k 2.4k |
|---|
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 offppisp-on.jpg— reconstruction render, PPISP onppisp-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
Forenly AI — The Skill Layer for Humanoids.
- Downloads last month
- 6