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Human cinemagraph generation on Synthetic dataset (test)

6.52MAEToy
5.8310.487515.14519.8025Mar 15, 2023

Evaluation results

MethodLinks
Toydescription=baseline generating output V = {I, I, ..., I} from input image I2023.036.52197.7312.366140.76218.39
CycleNetData modality=RGB2023.037.64175.2412.215637.64230.4
Controllable Anim.2023.039.37302.2615.894834.49220.86
CycleNetData modality=Normals, Note=Ground truth normal maps, Re-shading=True2023.0315.75563.7622.634132.11231.29
CycleNetData modality=Estimated normals, Note=Normal maps estimated from synthetic RGB data, Re-shading=True2023.0317.32674.6224.313431.81231.74
LIAmode=single image-based controllable video generation2023.0323.771,131.6232.451125.5400.26