25 citations · 105 across the 18 of their papers we have counts for
18 papers
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features
Yufeng Yin, Di Chang, Guoxian Song +5
Automatic detection of facial Action Units (AUs) allows for objective facial expression analysis. Due to the high cost of AU labeling and the limited size of existing benchmarks, p…
OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis
Hongyi Xu, Guoxian Song, Zihang Jiang +6
We present OmniAvatar, a novel geometry-guided 3D head synthesis model trained from in-the-wild unstructured images that is capable of synthesizing diverse identity-preserved 3D he…
AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning
Guoxian Song, Hongyi Xu, Jing Liu +7
While substantial progresses have been made in automated 2D portrait stylization, admirable 3D portrait stylization from a single user photo remains to be an unresolved challenge.…
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360
Sizhe An, Hongyi Xu, Yichun Shi +3
Synthesis and reconstruction of 3D human head has gained increasing interests in computer vision and computer graphics recently. Existing state-of-the-art 3D generative adversarial…
AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging
Shen Sang, Tiancheng Zhi, Guoxian Song +6
Stylized 3D avatars have become increasingly prominent in our modern life. Creating these avatars manually usually involves laborious selection and adjustment of continuous and dis…
Using Augmented Face Images to Improve Facial Recognition Tasks
Shuo Cheng, Guoxian Song, Wan-Chun Ma +2
We present a framework that uses GAN-augmented images to complement certain specific attributes, usually underrepresented, for machine learning model training. This allows us to im…
High-Quality Pluralistic Image Completion via Code Shared VQGAN
Chuanxia Zheng, Guoxian Song, Tat-Jen Cham +3
PICNet pioneered the generation of multiple and diverse results for image completion task, but it required a careful balance between loss (diversity) and reconstruct…
DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues
Yifan Wang, Linjie Luo, Xiaohui Shen +1
Recently, significant progress has been made in single-view depth estimation thanks to increasingly large and diverse depth datasets. However, these datasets are largely limited to…
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
Yichao Zhou, Jingwei Huang, Xili Dai +4
We present HoliCity, a city-scale 3D dataset with rich structural information. Currently, this dataset has 6,300 real-world panoramas of resolution that are acc…
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
Xuecheng Nie, Yuncheng Li, Linjie Luo +2
Existing video-based human pose estimation methods extensively apply large networks onto every frame in the video to localize body joints, which suffer high computational cost and…
Task-Assisted Domain Adaptation with Anchor Tasks
Zhizhong Li, Linjie Luo, Sergey Tulyakov +2
Some tasks, such as surface normals or single-view depth estimation, require per-pixel ground truth that is difficult to obtain on real images but easy to obtain on synthetic. Howe…
Transformable Bottleneck Networks
Kyle Olszewski, Sergey Tulyakov, Oliver Woodford +2
We propose a novel approach to performing fine-grained 3D manipulation of image content via a convolutional neural network, which we call the Transformable Bottleneck Network (TBN)…
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo +3
Estimating the relative rigid pose between two RGB-D scans of the same underlying environment is a fundamental problem in computer vision, robotics, and computer graphics. Most exi…
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Zaiwei Zhang, Zhenpei Yang, Chongyang Ma +4
We present a deep generative scene modeling technique for indoor environments. Our goal is to train a generative model using a feed-forward neural network that maps a prior distrib…
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
Xingyi Zhou, Arjun Karpur, Linjie Luo +1
Semantic keypoints provide concise abstractions for a variety of visual understanding tasks. Existing methods define semantic keypoints separately for each category with a fixed nu…
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
Xingyi Zhou, Arjun Karpur, Chuang Gan +2
In this paper, we introduce a novel unsupervised domain adaptation technique for the task of 3D keypoint prediction from a single depth scan or image. Our key idea is to utilize th…
AutoScaler: Scale-Attention Networks for Visual Correspondence
Shenlong Wang, Linjie Luo, Ning Zhang +1
Finding visual correspondence between local features is key to many computer vision problems. While defining features with larger contextual scales usually implies greater discrimi…
Interactive 3D Face Stylization Using Sculptural Abstraction
Jan Jachnik, Dan B Goldman, Linjie Luo +1
Sculptors often deviate from geometric accuracy in order to enhance the appearance of their sculpture. These subtle stylizations may emphasize anatomy, draw the viewer's focus to c…