RenderFlow-mini β keyframe guidance adapter (run E)
Stage-2 adaptation for the RenderFlow scaled reproduction: the run-A forward model (mewvan/renderflow-mini-bridge) is frozen; a cross-attention adapter injects the ground-truth keyframe (frame 0 of each 5-frame sequence) into the UNet at β€64Γ64 resolution (higher resolutions OOM'd on 24 GB β see report caveats).
Test results (300 frames):
| variant | PSNR | SSIM | LPIPS |
|---|---|---|---|
| without keyframe (adapter bypassed) | 25.03 dB | 0.762 | 0.240 |
| with keyframe | 24.97 dB | 0.791 | 0.309 |
Finding: not validated at this scale. SSIM improves (+0.029) but PSNR is flat and LPIPS worsens; all deltas are within the ~0.2β0.5 dB kernel-noise floor observed between identical eval runs. Plausible causes: 5-frame clips make the keyframe near-redundant, the adapter is far smaller than the paper's (plus we dropped the paper's RoPE temporal encoding and the LoRA-in-FFN variant), and 6k adapter steps may under-train it. The paper's keyframe-gap ablation (13β49 frames) operates in a regime our 5-frame clips cannot reach.