45 citations · 66 across the 11 of their papers we have counts for
11 papers
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'…
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…
SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stage
Yifan Wang, Aleksander Holynski, Xiuming Zhang +1
A light stage uses a series of calibrated cameras and lights to capture a subject's facial appearance under varying illumination and viewpoint. This captured information is crucial…
The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement
Ilya Chugunov, Yuxuan Zhang, Zhihao Xia +4
Modern smartphones can continuously stream multi-megapixel RGB images at 60Hz, synchronized with high-quality 3D pose information and low-resolution LiDAR-driven depth estimates. D…
Time-Travel Rephotography
Xuan Luo, Xuaner Zhang, Paul Yoo +3
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. This paper…
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…
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…
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…
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…
Single Image Reflection Separation with Perceptual Losses
Xuaner Zhang, Ren Ng, Qifeng Chen
We present an approach to separating reflection from a single image. The approach uses a fully convolutional network trained end-to-end with losses that exploit low-level and high-…
Photometric Stabilization for Fast-forward Videos
Xuaner Cecilia Zhang, Joon-Young Lee, Kalyan Sunkavalli +1
Videos captured by consumer cameras often exhibit temporal variations in color and tone that are caused by camera auto-adjustments like white-balance and exposure. When such videos…