Search Results for author: Xuaner Zhang

Found 8 papers, 4 papers with code

DiffusionRig: Learning Personalized Priors for Facial Appearance Editing

1 code implementation CVPR 2023 Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang

On a high level, DiffusionRig learns to map simplistic renderings of 3D face models to realistic photos of a given person.

LightPainter: Interactive Portrait Relighting with Freehand Scribble

no code implementations CVPR 2023 Yiqun Mei, He Zhang, Xuaner Zhang, Jianming Zhang, Zhixin Shu, Yilin Wang, Zijun Wei, Shi Yan, HyunJoon Jung, Vishal M. Patel

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

SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage

no code implementations CVPR 2023 Yifan Wang, Aleksander Holynski, Xiuming Zhang, Xuaner Zhang

Our method only requires the user to capture a selfie video outdoors, rotating in place, and uses the varying angles between the sun and the face as guidance in joint reconstruction of facial geometry, reflectance, camera pose, and lighting parameters.

Novel View Synthesis

Time-Travel Rephotography

1 code implementation22 Dec 2020 Xuan Luo, Xuaner Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz

Many historical people were only ever captured by old, faded, black and white photos, that are distorted due to the limitations of early cameras and the passage of time.

Colorization Denoising +1

Zoom to Learn, Learn to Zoom

no code implementations CVPR 2019 Xuaner Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun

We show how to obtain such ground-truth data via optical zoom and contribute a dataset, SR-RAW, for real-world computational zoom.


Synthetic Defocus and Look-Ahead Autofocus for Casual Videography

no code implementations15 May 2019 Xuaner Zhang, Kevin Matzen, Vivien Nguyen, Dillon Yao, You Zhang, Ren Ng

We present a system that synthetically renders refocusable video from a deep DOF video shot with a smartphone, and analyzes future video frames to deliver context-aware autofocus for the current frame.

BIG-bench Machine Learning Saliency Detection

Single Image Reflection Separation with Perceptual Losses

3 code implementations CVPR 2018 Xuaner Zhang, Ren Ng, Qifeng Chen

Our loss function includes two perceptual losses: a feature loss from a visual perception network, and an adversarial loss that encodes characteristics of images in the transmission layers.

Image Enhancement Reflection Removal +1

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