Datasets:
PPISP ablation renders + card
Browse files- README.md +53 -0
- ppisp-off.jpg +3 -0
- ppisp-on.jpg +3 -0
- ppisp-sidebyside.jpg +3 -0
README.md
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---
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license: cc-by-4.0
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pretty_name: PPISP Scene→Sim Ablation (OFF vs ON)
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task_categories:
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- image-to-image
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tags:
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- 3d-reconstruction
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- gaussian-splatting
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- radiance-fields
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- novel-view-synthesis
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- ppisp
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- nvidia
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- scene-to-sim
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- physical-ai
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size_categories:
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- n<1K
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---
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# PPISP Scene→Sim Ablation — OFF vs ON
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Evaluation renders from a single controlled ablation of **NVIDIA's PPISP** inside
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Forenly AI's **Scene→Sim** (real-scene → simulation) pipeline.
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## What this is
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The same real **3-camera capture** reconstructed with the **same 30,000 training
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iterations**, changing exactly one variable — **PPISP off vs on**.
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| Run | Result |
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|-----|--------|
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| PPISP **off** | hazy, washed-out blur; geometry and colour collapse |
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| PPISP **on** | sharp, colour-correct, stable — **+9.5 dB PSNR** |
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## Files
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- `ppisp-off.jpg` — reconstruction render, PPISP off
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- `ppisp-on.jpg` — reconstruction render, PPISP on
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- `ppisp-sidebyside.jpg` — labelled side-by-side (off | on)
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## Why it matters
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In Scene→Sim, reconstruction fidelity **is** the training ground: a blurry scene is a
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broken one — geometry the robot can't trust, textures the policy can't read. PPISP
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targets the photometric artifacts (lighting/colour drift) that break radiance-field and
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Gaussian-splatting reconstructions; it works across 3DGS, 3DGUT and NeRFs.
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Methods benchmarked in this line of work: **PPISP · 3DGRUT · 2DGS · GOF**.
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## Method / credit
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PPISP is NVIDIA's method for physically-plausible compensation of photometric variations
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in radiance fields. This card documents an applied ablation, not the original method.
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Interactive viewer: [Space — ppisp-scene2sim](https://huggingface.co/spaces/ForenlyAI/ppisp-scene2sim)
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· Study: https://forenly.ai/lab-study/ppisp
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**Forenly AI — The Skill Layer for Humanoids.**
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ppisp-off.jpg
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Git LFS Details
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ppisp-on.jpg
ADDED
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Git LFS Details
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ppisp-sidebyside.jpg
ADDED
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Git LFS Details
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