42. DARREN COSKER ♂
Information acquired: 2025
DARREN COSKER is an academic who published a paper in 2020 entitled Learning to animate volumetric video.. DARREN COSKER published this work as part of a team: Regateiro, João P. C.. Here is a description of this work: 4D human performance capture aims to create volumetric representations of observed human subjects performing arbitrary motions with the ability to replay and render dynamic scenes with the realism of the recorded video. This representation has the potential to enable highly realistic content production for immersive virtual and augmented reality experiences. Human models are typically rendered using detailed, explicit 3D models, which consist of meshes and textures, and animated using tailored motion models to simulate human behaviour and activity. However, designing a realistic 3D human model is still a costly and laborious process. Hence, this work investigates techniques to learn models of human body shape and appearance, aiming to facilitate the generation of highly realistic human animation, and demonstrate its potential contributions, applications, and versatility. The first contribut.