Lecture 16 : CLIP and its applications

Notes

• Box

Recording

• YouTube
• Mediasite

Readings

• Learning Transferable Visual Models From Natural Language Supervision (a.k.a. CLIP), Radford et al., ICML 2021
• StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery, Patashnik et al., ICCV 2021
• StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators, Gal et al., SIGRRAPH 2022
• CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions, Abdal et al., SIGRRAPH 2022
• CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders, Frans et al., NeurIPS 2022
• Blended Diffusion for Text-driven Editing of Natural Images, Avrahami et al., CVPR 2022

Useful Links

• CLIP project page, OpenAI
• StyleCLIP demo page
• StyleGAN-NADA demo page