ANIMATED AVATAR GENERATION TECHNOLOGY RESEARCH BASED ON DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORK INTEGRATED WITH SELF-ATTENTION AND SPECTRAL NORMALIZATION

The burgeoning field of large language models (LLMs), exemplified by DALL-E and Stable Diffusion, has made image generation a reality.However, the computationally intensive GPU training these models necessitate incurs substantial financial burdens.Moreover, while a plethora of image datasets are accessible, specialized anime avatar datasets remain

Because there is no effective antibiotic to eradicate Staphylococcus epidermidis biofilm infections that lead to the failure of medical device implantations, the development of anti-biofilm vaccines is necessary.Biofilm formation by S.epidermidis requires accumulation-associated protein (Aap) that contains sequence repeats known as G5 domains, whic

Insulation defect detection in time ensures higher operational reliability of power system assets.Power transformers are the most critical unit of power systems both from economical and operational front.Hence it becomes necessary to have knowledge of the actual insulation condition of transformer to increase dependability of the system.The perform