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HyperHuman Ablation Study: Optimal Expert Branch Design for Improved Image Generation


HyperHuman Ablation Study: Optimal Expert Branch Design for Improved Image Generation by @homology

The ablation study reveals that the best performance comes from jointly learning image appearance, spatial relationships, and geometry. Fewer replicate layers lead to better spatial alignment, while too many layers hinder feature fusion between different targets.

Table of Links

Abstract and 1 Introduction

2 Related Work

3 Our Approach and 3.1 Preliminaries and Problem Setting

3.2 Latent Structural Diffusion Model

3.3 Structure-Guided Refiner

4 Human Verse Dataset

5 Experiments

5.1 Main Results

5.2 Ablation Study

6 Discussion and References

A Appendix and A.1 Additional Quantitative Results

A.2 More Implementation Details and A.3 More Ablation Study Results

A.4 More User Study Details

A.5 Impact of Random Seed and Model Robustness and A.6 Boarder Impact and Ethical Consideration

A.7 More Comparison Results and A.8 Additional Qualitative ...


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