HyperGAN-CLIP adapts a pre-trained StyleGAN2 with CLIP-conditioned hypernetworks and residual feature injection, enabling multi-domain one-shot adaptation, reference-guided synthesis, and text-guided manipulation with a single model.
The comparisons on a smaller set of domains shows that our proposed HyperGAN- CLIP model performs comparably or better than HyperDomainNet
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HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and Manipulation
HyperGAN-CLIP adapts a pre-trained StyleGAN2 with CLIP-conditioned hypernetworks and residual feature injection, enabling multi-domain one-shot adaptation, reference-guided synthesis, and text-guided manipulation with a single model.