Realistic Rendering

Realistic rendering aims to generate highly realistic images and interactive experiences from various input sources, such as videos or sparse sensor data. Current research heavily utilizes neural radiance fields (NeRFs) and deep generative models, often incorporating techniques like subpixel sampling reconstruction and multi-view consistency to improve rendering speed and quality, particularly for complex scenes including humans and hair. These advancements are driving progress in applications like virtual and augmented reality, video game development, and e-commerce, enabling more immersive and interactive digital experiences. The focus is on achieving real-time performance at high resolutions while maintaining photorealism and physical accuracy.