| ---
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| license: apache-2.0
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| task_categories:
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| - keypoint-detection
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| - image-to-image
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| tags:
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| - synthetic
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| - camera-control
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| - pose
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| size_categories:
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| - n<1K
|
| ---
|
|
|
| # anny-render-corpus
|
|
|
| A camera-controlled render corpus from the ANNY rig, and the measurements that motivated it.
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|
|
| **Code:** [`weftspun/anny-render-corpus`](https://github.com/weftspun/anny-render-corpus), on the **`6-datasource`** side of the hexagon.
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| Everything here is produced by scripts in that repository and can be regenerated from it.
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|
|
| ## What this is for
|
|
|
| Asked in plain language for eight camera azimuths, OmniGen2 returns a body that does not
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| turn. Recovered azimuth tracks the request with a slope of **0.04**, where 1.00 is obedience
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| and 0.00 is a body that never moved. Six of eight views came back between -1 and -11 degrees
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| whatever was asked; only the back view worked.
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|
|
| This corpus exists to close that gap, the way fal's Multiple-Angles LoRA closed it for
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| Qwen-Image-Edit with 3000+ Gaussian-splat renders.
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|
|
| ## Contents
|
|
|
| | directory | what |
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| | --- | --- |
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| | `renders/` | 192 files: 96 rendered views with their camera sidecars |
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| | `controls/` | 2 files: exact depth maps and pose skeletons |
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| | `records/` | 4 files: the training records, 95 of them, and their mix config |
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| | `measurements/` | 4 files: the ladder timings and the azimuth recovery |
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|
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| **These renders are constructed synthetic, not generated.** They are rendered
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| deterministically from a rig we hold, the labels are true by construction rather than
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| inferred, and the same seed reproduces them. No generated image is mixed in here.
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|
|
| ## The measurements, so the numbers are not claims
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|
|
| Generation cost, bf16 at 1024 square on an RTX 3090, uncontended:
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|
|
| | setting | seconds |
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| | --- | ---: |
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| | 30 steps, `max_sequence_length` 1024 | 131 |
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| | 30 steps, `max_sequence_length` 256 | 131 |
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| | 30 steps, `cfg_range` (0.0, 0.6) | 103 |
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| | one input image | 103 |
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| | two input images | 192 |
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| | three input images | 529 |
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|
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| In-context images dominate cost, not step count, because each extends the sequence through
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| all three CFG passes.
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|
|
| ## Licence
|
|
|
| Apache-2.0 for this corpus. The rig it is rendered from is
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| [ANNY](https://github.com/naver/anny), Apache-2.0, NAVER Corp. `CITATION.cff` names every
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| source.
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|
|
