8 papers
Diff-PC: Identity-preserving and 3D-aware Controllable Diffusion for Zero-shot Portrait Customization
Yifang Xu, Benxiang Zhai, Chenyu Zhang +3
Portrait customization (PC) has recently garnered significant attention due to its potential applications. However, existing PC methods lack precise identity (ID) preservation and…
FaceSnap: Enhanced ID-fidelity Network for Tuning-free Portrait Customization
Benxiang Zhai, Yifang Xu, Guofeng Zhang +2
Benefiting from the significant advancements in text-to-image diffusion models, research in personalized image generation, particularly customized portrait generation, has also mad…
HiFi-Portrait: Zero-shot Identity-preserved Portrait Generation with High-fidelity Multi-face Fusion
Yifang Xu, Benxiang Zhai, Yunzhuo Sun +3
Recent advancements in diffusion-based technologies have made significant strides, particularly in identity-preserved portrait generation (IPG). However, when using multiple refere…
Real-time Multi-view Omnidirectional Depth Estimation for Real Scenarios based on Teacher-Student Learning with Unlabeled Data
Ming Li, Xiong Yang, Chaofan Wu +5
Omnidirectional depth estimation enables efficient 3D perception over a full 360-degree range. However, in real-world applications such as autonomous driving and robotics, achievin…
Omnidirectional Depth-Aided Occupancy Prediction based on Cylindrical Voxel for Autonomous Driving
Chaofan Wu, Jiaheng Li, Jinghao Cao +6
Accurate 3D perception is essential for autonomous driving. Traditional methods often struggle with geometric ambiguity due to a lack of geometric prior. To address these challenge…
Robust and Flexible Omnidirectional Depth Estimation with Multiple 360-degree Cameras
Ming Li, Xuejiao Hu, Xueqian Jin +3
Omnidirectional depth estimation has received much attention from researchers in recent years. However, challenges arise due to camera soiling and variations in camera layouts, aff…