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Few-Shot Head Swapping in the Wild

CVPR 2022 · Label-efficient and robust learning › Zero-/few-shot and meta-learning · approach: Fine-tuning strategies for few-shot · 19 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use HeSer instead of Deepfacelab for head swappingHead swapping · VoxCeleb2 test set user studyID: 2.16 -> 4.12Helped
Use HeSer instead of FaceSwap for head swappingHead swapping · VoxCeleb2 test set user studyExp: 3.02 -> 3.01No clear effect
Use HeSer instead of FaceSwap for head swappingHead swapping · VoxCeleb2 test set user studySkin Color: 3.36 -> 2.61Hurt
Use HeSer instead of Deepfacelab for head swappingHead swapping · VoxCeleb2 test set user studyInpainting: 0.05 -> 4.95Helped
Use HeSer instead of Deepfacelab for head swappingHead swapping · VoxCeleb2 test set user studyHolistic: 2.26 -> 3.82Helped
Use HeSer instead of FOMMOne-shot face reenactment · Face reenactment, one-shotE_ID: 0.49 -> 0.53Hurt
Use HeSer instead of LPDOne-shot face reenactment · Face reenactment, one-shotE_P: 0.063 -> 0.026Helped
Increase source inputs to 32 shots and fine-tune (ablation)HeSer · Face reenactmentSSIM: 0.77 -> 0.89Helped
Increase source inputs to 32 shots and fine-tune (ablation)HeSer · Face reenactmentE_ID: 0.53 -> 0.22Helped
Increase source inputs to 32 shots and fine-tune (ablation)HeSer · Face reenactmentE_P: 0.026 -> 0.024Helped
Add subject-specific fine-tuning (ablation)HeSer · Face reenactmentpose reconstruction errorHurt
Increase the K-shot number (ablation)HeSer Head2Head Aligner · Face reenactmentidentity similarityHelped

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