Single-Image Portrait Relighting
3 papers with code • 1 benchmarks • 2 datasets
Multi-PIE
Dynamic OLAT Dataset
Most implemented papers
Deep Single-Image Portrait Relighting
zhhoper/DPR
•
•
ICCV 2019
In this work, we apply a physically-based portrait relighting method to generate a large scale, high quality, "in the wild" portrait relighting dataset (DPR).
Neural Video Portrait Relighting in Real-time via Consistency Modeling
In this paper, we propose a neural approach for real-time, high-quality and coherent video portrait relighting, which jointly models the semantic, temporal and lighting consistency using a new dynamic OLAT dataset.
ReliTalk: Relightable Talking Portrait Generation from a Single Video
Our key insight is to decompose the portrait's reflectance from implicitly learned audio-driven facial normals and images.
