2026-10-14T17:32:43Z https://www.scidb.cn/oai

10.57760/sciencedb.28226 2025-09-17T16:39:46Z

2025-09-17 FaceCLIP doi:10.57760/sciencedb.28226 en Pytorch implementation for Facial Expression Genaration from Text with CLIP. The goal is to generate realistic facial expression images from pure text, and also allow the user to sematiclly edit basic facial attributes using natural language descriptions to present complex attribute combinations, in one framework. facial expression generation; contrastive language-image pre-training (CLIP); multi-stage; generative adver sarial network (GAN) Wen-Wen Fu Wen-Juan Gong Chen-Yang Yu Wei Wang Jordi Gonzàlez PUBLIC https://opendatacommons.org/licenses/by/1-0/ dataset http://www.doi.org/10.1007/s11390-024-3661-z Science Data Bank