Neural Rendering in Computer Vision

Neural rendering combines ideas from classical computer graphics, computer vision and machine learning to create algorithms for synthesizing images from real-world observations. Neural rendering is a leap forward towards the goal of synthesizing photo-realistic image and video content.   

This meeting will bring together experts to discuss advances in neural rendering for learning 3D scene representations referred to as neural scene representations. A key advantage of these methods is that they are 3D-consistent by design, enabling applications such as novel viewpoint synthesis of a captured scenes. Another important application is  the real-time rendering of 3D scenes and objects  in Augmented Reality. 


Professor Lourdes Agapito (UCL)

Dr Jamie Shotton (Wayve)

Dr Jules Valentin (Microsoft)

Professor Roberto Cipolla (University of Cambridge, Rank Prize Optoelectronics Committee)