| --- |
| license: cc |
| pretty_name: Ommatidium synthetic ray-tracing reconstruction data |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - image-to-image |
| tags: |
| - synthetic |
| - ray-tracing |
| - denoising |
| - upscaling |
| viewer: false |
| --- |
| |
| # Ommatidium dataset |
|
|
| Synthetic renderer-native training and validation data for |
| [Ommatidium](https://github.com/kvark/ommatidia), generated with |
| [Blade](https://github.com/kvark/blade). |
|
|
| - **Checkpoint:** https://huggingface.co/mad-bot/ommatidia |
| - **Format and training code:** https://github.com/kvark/ommatidia |
| - **Generator:** the `ommatidia-data` workspace crate |
|
|
| ## Contents |
|
|
| | File | Input source | Samples | Purpose | |
| |---|---|---:|---| |
| | `data/blade-path-trace/4spp-hr-gbuffer-train.omd` | independent path trace, 4 spp + HR primary surfaces | 2,400 | v0.3 spatial training set | |
| | `benchmarks/path-trace-4spp-hr-gbuffer-validation.omd` | independent path trace, 4 spp + HR primary surfaces | 128 | v0.3 separate seed-10000 validation | |
| | `ablations/path-trace-4spp-static-train.omd` | independent path trace, 4 spp | 2,400 | v0.2 low-resolution-guide training set | |
| | `benchmarks/path-trace-4spp-static-validation.omd` | independent path trace, 4 spp | 128 | separate seed-10000 validation | |
| | `benchmarks/path-reference-svgf-validation.omd` | Blade ReSTIR+SVGF | 128 | comparison control with matched references | |
| | `data/blade-path-trace/1spp-train.omd` | independent path trace, 1 spp | 2,400 | lower-ray-budget experiment | |
| | `benchmarks/path-trace-1spp-validation.omd` | independent path trace, 1 spp | 128 | lower-ray-budget validation | |
| | `data/blade-restir/train.omd` | raw Blade ReSTIR | 2,400 | 2,040 train / 360 held out | |
| | `benchmarks/matched-raw.omd` | raw Blade ReSTIR | 128 | matched replacement evaluation | |
| | `benchmarks/matched-svgf.omd` | Blade variance-guided SVGF | 128 | matched Blade baseline | |
|
|
| Every sample contains low-resolution radiance, depth, world-space normals, |
| diffuse albedo, specular F0, and roughness, plus a high-resolution canonical |
| path-traced reference. The v0.3 files additionally contain output-resolution |
| depth, world normal, diffuse albedo, specular F0, and roughness from the same |
| primary-surface pass. The primary set uses 128×128 inputs and 256×256 |
| references. Dataset-format version 2 records both plane sets and whether the |
| low-resolution source is an independent path trace, raw ReSTIR, or |
| SVGF-filtered. |
|
|
| Each benchmark family uses the same 128 procedural scenes and seed 10000; its |
| canonical record payloads are byte-identical. The path-first references use |
| 4,096 spp, eight-bounce targets. The 1/4-spp and SVGF files differ only in the |
| low-resolution evidence paired with those records. The 4-spp files accumulate |
| four independent paths within one static frame. At quarter resolution that is |
| one traced path per output pixel, before accounting for the cheaper |
| low-resolution G-buffer. It is spatial, not motion-aware temporal, data. |
|
|
| ## Loading |
|
|
| `.omd` is Ommatidium's little-endian, contiguous `f16` training format. It is |
| designed for the Rust trainer's direct batch reads rather than the Hugging Face |
| Dataset Viewer, which is disabled for this custom binary representation. |
|
|
| ```sh |
| hf download mad-bot/ommatidia \ |
| data/blade-path-trace/4spp-hr-gbuffer-train.omd \ |
| --repo-type dataset --revision v0.3.0 --local-dir data/hf |
| |
| cargo run --release -p ommatidia-train -- \ |
| --data data/hf/data/blade-path-trace/4spp-hr-gbuffer-train.omd \ |
| --reconstruction-base hr-guided --steps 2000 --batch 8 --out runs/ommatidia |
| ``` |
|
|
| See [`docs/design.md`](https://github.com/kvark/ommatidia/blob/main/docs/design.md#data-generation) |
| for the semantic contract and the source tree for the authoritative parser. |
|
|
| ## Generation provenance |
|
|
| - Ommatidium: `d416f7abdf01e761b7601d597dd0eacfec7a8157` |
| - Blade: `101c3abd283ddcff858671f3405f041e8d87b782` |
| - Meganeura: `c3159e830d84be920fc41ecf13b690973e8732a6` |
| - Primary generation seed: 0 |
| - Matched validation seed: 10000 |
|
|
| Future render estimators belong in this repository as separately identified |
| sources rather than changing the dataset's identity. Training recipes should |
| pin a Hub revision and enumerate the source names they consume. |
|
|
| The old nearest-base spatial experiment gained only 0.22 dB at 1 spp and 0.08 |
| dB at 4 spp. Re-evaluating deterministic reconstruction exposed that the |
| baseline, rather than the backbone, was the limiting factor: low-resolution |
| guidance reaches 34.08 dB / 0.9473 SSIM, while output-resolution primary |
| surfaces raise the selected 5×5 reconstruction to 34.75 dB / 0.9545 before the |
| learned correction. See the |
| [full result](https://github.com/kvark/ommatidia/blob/main/docs/results/path-trace-guided-2026-08-13.md). |
|
|
| ## Limitations |
|
|
| The repository contains small procedural scenes from one renderer and a narrow |
| resolution distribution. It should not be treated as representative of |
| production game content. The canonical targets reduce Monte Carlo noise but |
| are finite-sample path traces rather than analytic ground truth. No uploaded |
| path dataset contains motion vectors, animation, or disocclusions yet. |
|
|
