9 citations · 34 across the 30 of their papers we have counts for
26 papers · 1 filter
EagleDepth: Efficient Fine-Grained Depth Estimation via Pixel Diffusion Decoder
Bowen Chai, Tianbao Zhang, Shuyu Wu +3
Recovering detailed geometry from high-resolution images is critical for precise perception of the surroundings and objects. However, existing methods which use latent-space modeli…
ActAvatar: Temporally-Aware Precise Action Control for Talking Avatars
Ziqiao Peng, Yi Chen, Yifeng Ma +10
Despite significant advances in talking avatar generation, existing methods face critical challenges: insufficient text-following capability for diverse actions, lack of temporal a…
SyncTalk++: High-Fidelity and Efficient Synchronized Talking Heads Synthesis Using Gaussian Splatting
Ziqiao Peng, Wentao Hu, Junyuan Ma +7
Achieving high synchronization in the synthesis of realistic, speech-driven talking head videos presents a significant challenge. A lifelike talking head requires synchronized coor…
DualTalk: Dual-Speaker Interaction for 3D Talking Head Conversations
Ziqiao Peng, Yanbo Fan, Haoyu Wu +4
In face-to-face conversations, individuals need to switch between speaking and listening roles seamlessly. Existing 3D talking head generation models focus solely on speaking or li…
ExGes: Expressive Human Motion Retrieval and Modulation for Audio-Driven Gesture Synthesis
Xukun Zhou, Fengxin Li, Ming Chen +7
Audio-driven human gesture synthesis is a crucial task with broad applications in virtual avatars, human-computer interaction, and creative content generation. Despite notable prog…
VGG-Tex: A Vivid Geometry-Guided Facial Texture Estimation Model for High Fidelity Monocular 3D Face Reconstruction
Haoyu Wu, Ziqiao Peng, Xukun Zhou +4
3D face reconstruction from monocular images has promoted the development of various applications such as augmented reality. Though existing methods have made remarkable progress,…
AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration
Zhenbo Song, Wenhao Gao, Zhenyuan Zhang +1
Deep learning-based face restoration models, increasingly prevalent in smart devices, have become targets for sophisticated backdoor attacks. These attacks, through subtle trigger…
SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis
Ziqiao Peng, Wentao Hu, Yue Shi +6
Achieving high synchronization in the synthesis of realistic, speech-driven talking head videos presents a significant challenge. Traditional Generative Adversarial Networks (GAN)…
STDG: Semi-Teacher-Student Training Paradigram for Depth-guided One-stage Scene Graph Generation
Xukun Zhou, Zhenbo Song, Jun He +2
Scene Graph Generation is a critical enabler of environmental comprehension for autonomous robotic systems. Most of existing methods, however, are often thwarted by the intricate d…
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation
Yixing Lu, Zhaoxin Fan, Min Xu
In this paper, we introduce a novel semi-supervised learning framework tailored for medical image segmentation. Central to our approach is the innovative Multi-scale Text-aware ViT…
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field
Xueting Yang, Yihao Luo, Yuliang Xiu +3
Realistic virtual humans play a crucial role in numerous industries, such as metaverse, intelligent healthcare, and self-driving simulation. But creating them on a large scale with…
Benchmarking Ultra-High-Definition Image Reflection Removal
Zhenyuan Zhang, Zhenbo Song, Kaihao Zhang +2
Deep learning based methods have achieved significant success in the task of single image reflection removal (SIRR). However, the majority of these methods are focused on High-Defi…
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation
Zhaoxin Fan, Puquan Pan, Zeren Zhang +4
Few-shot medical image semantic segmentation is of paramount importance in the domain of medical image analysis. However, existing methodologies grapple with the challenge of data…
SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces
Ziqiao Peng, Yihao Luo, Yue Shi +5
Speech-driven 3D face animation technique, extending its applications to various multimedia fields. Previous research has generated promising realistic lip movements and facial exp…
EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation
Ziqiao Peng, Haoyu Wu, Zhenbo Song +5
Speech-driven 3D face animation aims to generate realistic facial expressions that match the speech content and emotion. However, existing methods often neglect emotional facial ex…
SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Estimation
Zhaoxin Fan, Kaixing Yang, Min Zhang +3
Recently, over-height vehicle strike frequently occurs, causing great economic cost and serious safety problems. Hence, an alert system which can accurately discover any possible h…
FuRPE: Learning Full-body Reconstruction from Part Experts
Zhaoxin Fan, Yuqing Pan, Hao Xu +5
In the field of full-body reconstruction, the scarcity of annotated data often impedes the efficacy of prevailing methods. To address this issue, we introduce FuRPE, a novel framew…
GIDP: Learning a Good Initialization and Inducing Descriptor Post-enhancing for Large-scale Place Recognition
Zhaoxin Fan, Zhenbo Song, Hongyan Liu +1
Large-scale place recognition is a fundamental but challenging task, which plays an increasingly important role in autonomous driving and robotics. Existing methods have achieved a…
Human Pose Driven Object Effects Recommendation
Zhaoxin Fan, Fengxin Li, Hongyan Liu +2
In this paper, we research the new topic of object effects recommendation in micro-video platforms, which is a challenging but important task for many practical applications such a…
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection
Han Sun, Zhaoxin Fan, Zhenbo Song +3
Monocular 3D object detection is a fundamental but very important task to many applications including autonomous driving, robotic grasping and augmented reality. Existing leading m…
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan, Yulin He, Zhicheng Wang +3
Real-world sensors often produce incomplete, irregular, and noisy point clouds, making point cloud completion increasingly important. However, most existing completion methods rely…
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image
Zhaoxin Fan, Zhenbo Song, Jian Xu +4
Recently, RGBD-based category-level 6D object pose estimation has achieved promising improvement in performance, however, the requirement of depth information prohibits broader app…
ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation
Zhaoxin Fan, Zhengbo Song, Jian Xu +4
Recently, category-level 6D object pose estimation has achieved significant improvements with the development of reconstructing canonical 3D representations. However, the reconstru…
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network
Zhaoxin Fan, Zhenbo Song, Wenping Zhang +3
Point cloud-based large scale place recognition is an important but challenging task for many applications such as Simultaneous Localization and Mapping (SLAM). Taking the task as…