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20172020
most citedSynthetic Defocus and Look-Ahead Autofocus for Casual Videography

4 citations · 6 across the 5 of their papers we have counts for

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cs.CV2023

DiffusionRig: Learning Personalized Priors for Facial Appearance Editing

Zheng Ding, Xuaner Zhang, Zhihao Xia +3

We address the problem of learning person-specific facial priors from a small number (e.g., 20) of portrait photos of the same person. This enables us to edit this specific person'…

cs.CV2023

Automatic High Resolution Wire Segmentation and Removal

Mang Tik Chiu, Xuaner Zhang, Zijun Wei +7

Wires and powerlines are common visual distractions that often undermine the aesthetics of photographs. The manual process of precisely segmenting and removing them is extremely te…

cs.CV2020

Learned Dual-View Reflection Removal

Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron +4

Traditional reflection removal algorithms either use a single image as input, which suffers from intrinsic ambiguities, or use multiple images from a moving camera, which is inconv…

cs.CV20202 cited

Portrait Shadow Manipulation

Xuaner Cecilia Zhang, Jonathan T. Barron, Yun-Ta Tsai +4

Casually-taken portrait photographs often suffer from unflattering lighting and shadowing because of suboptimal conditions in the environment. Aesthetic qualities such as the posit…

cs.CV20194 cited

Synthetic Defocus and Look-Ahead Autofocus for Casual Videography

Xuaner Zhang, Kevin Matzen, Vivien Nguyen +3

In cinema, large camera lenses create beautiful shallow depth of field (DOF), but make focusing difficult and expensive. Accurate cinema focus usually relies on a script and a pers…

cs.CV2019

Zoom To Learn, Learn To Zoom

Xuaner Cecilia Zhang, Qifeng Chen, Ren Ng +1

This paper shows that when applying machine learning to digital zoom for photography, it is beneficial to use real, RAW sensor data for training. Existing learning-based super-reso…