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Fast and photorealistic view synthesis for real-world scenes

Applications such as AR/VR and multi-view 3D displays require virtual view synthesis from a limited set of input views. High framerate and low latency are typically required to give a user a realistic impression when looking around in a virtual scene. This PhD project will investigate efficient methods to generate photorealistic views from stereo or RGB-D input. Problems to address include view extrapolation, occlusion hole filling, and implementation optimizations such as parallelization. Both classic and deep learning-based methods will be explored.

Date:1 Nov 2021 →  1 Aug 2022
Keywords:view synthesis, image-based rendering, deep learning
Disciplines:Image processing
Project type:PhD project