activity
20222024
most citedPaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image

Yiqun Mei, Yu Zeng, He Zhang +6

At the core of portrait photography is the search for ideal lighting and viewpoint. The process often requires advanced knowledge in photography and an elaborate studio setup. In t…

cs.CV2023

Controllable Dynamic Appearance for Neural 3D Portraits

ShahRukh Athar, Zhixin Shu, Zexiang Xu +4

Recent advances in Neural Radiance Fields (NeRFs) have made it possible to reconstruct and reanimate dynamic portrait scenes with control over head-pose, facial expressions and vie…

cs.CV2023

LightPainter: Interactive Portrait Relighting with Freehand Scribble

Yiqun Mei, He Zhang, Xuaner Zhang +7

Recent portrait relighting methods have achieved realistic results of portrait lighting effects given a desired lighting representation such as an environment map. However, these m…

cs.CV20233 cited

PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields

Zhengfei Kuang, Fujun Luan, Sai Bi +3

Recent advances in neural radiance fields have enabled the high-fidelity 3D reconstruction of complex scenes for novel view synthesis. However, it remains underexplored how the app…

cs.CV20221 cited

3D-FM GAN: Towards 3D-Controllable Face Manipulation

Yuchen Liu, Zhixin Shu, Yijun Li +3

3D-controllable portrait synthesis has significantly advanced, thanks to breakthroughs in generative adversarial networks (GANs). However, it is still challenging to manipulate exi…