12 citations · 24 across the 9 of their papers we have counts for
9 papers
3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance Field
Zhenyu Bao, Guibiao Liao, Zhongyuan Zhao +3
Simultaneously achieving 3D reconstruction and new view synthesis for indoor environments has widespread applications but is technically very challenging. State-of-the-art methods…
PSAvatar: A Point-based Shape Model for Real-Time Head Avatar Animation with 3D Gaussian Splatting
Zhongyuan Zhao, Zhenyu Bao, Qing Li +2
Despite much progress, achieving real-time high-fidelity head avatar animation is still difficult and existing methods have to trade-off between speed and quality. 3DMM based metho…
P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments
Xujie Kang, Kanglin Liu, Jiang Duan +2
Given a new camera pose in an indoor environment, we study the challenging problem of predicting the view from that pose based on a set of reference RGBD views. Existing exp…
Lightness Modulated Deep Inverse Tone Mapping
Kanglin Liu, Gaofeng Cao, Jiang Duan +1
Single-image HDR reconstruction or inverse tone mapping (iTM) is a challenging task. In particular, recovering information in over-exposed regions is extremely difficult because de…
Towards Disentangling Latent Space for Unsupervised Semantic Face Editing
Kanglin Liu, Gaofeng Cao, Fei Zhou +3
Facial attributes in StyleGAN generated images are entangled in the latent space which makes it very difficult to independently control a specific attribute without affecting the o…
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
Kanglin Liu, Qing Li, Guoping Qiu
Camera localization is a fundamental requirement in robotics and computer vision. This paper introduces a pose-to-image translation framework to tackle the camera localization prob…
Gaussian Curvature Filter on 3D Meshes
Wenming Tang, Yuanhao Gong, Kanglin Liu +4
Minimizing the Gaussian curvature of meshes can play a fundamental role in 3D mesh processing. However, there is a lack of computationally efficient and robust Gaussian curvature o…
Spectral Regularization for Combating Mode Collapse in GANs
Kanglin Liu, Wenming Tang, Fei Zhou +1
Despite excellent progress in recent years, mode collapse remains a major unsolved problem in generative adversarial networks (GANs).In this paper, we present spectral regularizati…
Lipschitz Constrained GANs via Boundedness and Continuity
Kanglin Liu, Guoping Qiu
One of the challenges in the study of Generative Adversarial Networks (GANs) is the difficulty of its performance control. Lipschitz constraint is essential in guaranteeing trainin…