Visual Synthesis

Visual synthesis focuses on generating novel images and videos using computational methods, aiming to create realistic and semantically meaningful outputs. Current research heavily utilizes diffusion models, often enhanced with techniques like flow matching for improved efficiency and high-resolution synthesis, and explores diverse architectures such as transformers and neural radiance fields to achieve greater control and consistency, particularly in complex modalities like panoramas and videos. This field is significant for its applications in e-commerce, forensics (detecting synthetic media), and creative content generation, while also raising important ethical considerations regarding responsible AI development and the detection of deepfakes.