Single-Image Portrait Relighting

4 papers with code • 1 benchmarks • 2 datasets

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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

ZoneLikeWonderland/Neural-Video-Portrait-Relighting-in-Real-time-via-Consistency-Modeling ICCV 2021

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.

Light Sampling Field and BRDF Representation for Physically-based Neural Rendering

jingyangcarl/LightSamplingField ICLR 2023

Extensive experiments showcase the quality and efficiency of our PBR face skin shader, indicating the effectiveness of our proposed lighting and material representations.

ReliTalk: Relightable Talking Portrait Generation from a Single Video

arthur-qiu/ReliTalk 5 Sep 2023

Our key insight is to decompose the portrait's reflectance from implicitly learned audio-driven facial normals and images.