5 papers · 1 filter
MAGE: View-guided Point Cloud Completion with Efficient Modality Alignment and Adaptive Geometry Enhancement
Weize Quan, Zhengwei Wu, Kai Wang +1
View-based point cloud completion aims to recover a complete 3D shape from a partial point cloud, guided by a single-view image. However, existing approaches often suffer from limi…
CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection
Zhipeng Yuan, Kai Wang, Weize Quan +2
With the rapid advancement of AI generative models, the visual quality of AI-generated images (AIIs) has become increasingly close to natural images, which inevitably raises securi…
PointCFormer: a Relation-based Progressive Feature Extraction Network for Point Cloud Completion
Yi Zhong, Weize Quan, Dong-ming Yan +2
Point cloud completion aims to reconstruct the complete 3D shape from incomplete point clouds, and it is crucial for tasks such as 3D object detection and segmentation. Despite the…
GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expression
Ziqi Zhou, Weize Quan, Hailin Shi +3
Audio-driven talking head generation necessitates seamless integration of audio and visual data amidst the challenges posed by diverse input portraits and intricate correlations be…
Deep Learning-based Image and Video Inpainting: A Survey
Weize Quan, Jiaxi Chen, Yanli Liu +2
Image and video inpainting is a classic problem in computer vision and computer graphics, aiming to fill in the plausible and realistic content in the missing areas of images and v…