Research map / 3D vision / Human pose estimation
Human Appearance Transfer
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the complete Human Appearance Synthesis inputs, including depth and clothing layout, instead of omitting either input (ablation) | Human Appearance Transfer · Human Appearance Synthesis visual comparison | visual quality | Helped |
| Remove the depth map input (ablation) | Human Appearance Synthesis · Human Appearance Synthesis visual comparison | visual quality | Hurt |
| Remove both the depth map and clothing segmentation inputs (ablation) | Human Appearance Synthesis · Human Appearance Synthesis visual comparison | visual quality | Hurt |
| Use Human Appearance Transfer rather than method [27] | Human appearance generation · Human appearance generation comparison | Inception Score: 3.35 -> 4.13 | Helped |
| Use Human Appearance Transfer rather than method [19] | Human appearance generation · Human appearance generation comparison | Inception Score: 3.09 -> 4.13 | Helped |
Closest papers by meaning
- Pose-Guided Human Animation From a Single Image in the Wild (CVPR 2021 · similarity 0.88)
- Dense Intrinsic Appearance Flow for Human Pose Transfer (CVPR 2019 · similarity 0.88)
- Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation (AAAI 2021 · similarity 0.88)
- Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning (NeurIPS 2022 · similarity 0.88)
- MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation (CVPR 2021 · similarity 0.88)
- Learning to Reconstruct People in Clothing From a Single RGB Camera (CVPR 2019 · similarity 0.88)
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