---
license: apache-2.0
task_categories:
  - keypoint-detection
  - image-to-image
tags:
  - synthetic
  - camera-control
  - pose
size_categories:
  - n<1K
---

# anny-render-corpus

A camera-controlled render corpus from the ANNY rig, and the measurements that motivated it.

**Code:** [`weftspun/anny-render-corpus`](https://github.com/weftspun/anny-render-corpus), on the **`6-datasource`** side of the hexagon.
Everything here is produced by scripts in that repository and can be regenerated from it.

## What this is for

Asked in plain language for eight camera azimuths, OmniGen2 returns a body that does not
turn. Recovered azimuth tracks the request with a slope of **0.04**, where 1.00 is obedience
and 0.00 is a body that never moved. Six of eight views came back between -1 and -11 degrees
whatever was asked; only the back view worked.

This corpus exists to close that gap, the way fal's Multiple-Angles LoRA closed it for
Qwen-Image-Edit with 3000+ Gaussian-splat renders.

## Contents

| directory | what |
| --- | --- |
| `renders/` | 192 files: 96 rendered views with their camera sidecars |
| `controls/` | 2 files: exact depth maps and pose skeletons |
| `records/` | 4 files: the training records, 95 of them, and their mix config |
| `measurements/` | 4 files: the ladder timings and the azimuth recovery |

**These renders are constructed synthetic, not generated.** They are rendered
deterministically from a rig we hold, the labels are true by construction rather than
inferred, and the same seed reproduces them. No generated image is mixed in here.

## The measurements, so the numbers are not claims

Generation cost, bf16 at 1024 square on an RTX 3090, uncontended:

| setting | seconds |
| --- | ---: |
| 30 steps, `max_sequence_length` 1024 | 131 |
| 30 steps, `max_sequence_length` 256 | 131 |
| 30 steps, `cfg_range` (0.0, 0.6) | 103 |
| one input image | 103 |
| two input images | 192 |
| three input images | 529 |

In-context images dominate cost, not step count, because each extends the sequence through
all three CFG passes.

## Licence

Apache-2.0 for this corpus. The rig it is rendered from is
[ANNY](https://github.com/naver/anny), Apache-2.0, NAVER Corp. `CITATION.cff` names every
source.