Challenges and Solutions in Generating Realistic Animal Images with ML

The chapter explores the difficulties in creating high-quality 3D animal models using machine learning, due to the lack of diverse animal datasets. It discusses innovative approaches like utilizing diffusion processes to predict different angles of an animal image and converting text descriptions into unique 3D animals. The conversation also touches on the importance of adapting models to handle occlusion issues and generate realistic wildlife images despite dataset limitations.