Feedback Welcome — What Would Improve These Datasets?
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We're releasing this first collection (10 CC0 Polyhaven objects, 196×1024 sphere coverage) to get feedback from the NeRF/3DGS community before scaling up.
We'd appreciate your thoughts on:
Depth maps
- Are the 8-bit and 16-bit depth maps accurate at object edges?
- Is the near/far plane range useful, or would you prefer raw metric depth?
Masks
- How do the binary masks handle transparent or reflective materials (glass, chrome)?
- Any edge artifacts?
View distribution
- We use a Fibonacci golden-angle spiral on a full sphere (±89° elevation). Does this distribution work well for your training method?
- Would you prefer a different sampling strategy?
Point clouds
- Are ~200k points sufficient for initialization?
- Is the alignment with RGB views correct?
Missing modalities
- Anything you need that's not included? (e.g., optical flow, semantic labels, metric depth)
Object selection
- What categories should the next collection cover?
- Any specific objects or material types you'd like to see?
Pre-trained splats
- Are the splatfacto PLYs useful as baselines?
- Should we include checkpoints or just the exported PLY?
All datasets are CC0 — use them however you want. If you find issues or have suggestions, please reply here or open a separate Discussion.
Interactive splat viewer: https://dx.gl/splat/index.html
Collection page: https://dx.gl/datasets/polyhaven-10
Pipeline details: https://dx.gl/for-research
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