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20142023
most citedMaximal Sparsity with Deep Networks?

113 citations · 260 across the 33 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

cs.GR2022★ 1 cited

Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors

Zhentao Yu, Zixin Yin, Deyu Zhou +3

In this paper, we introduce a simple and novel framework for one-shot audio-driven talking head generation. Unlike prior works that require additional driving sources for controlle…

cs.CV2022★ 2 cited

UDE: A Unified Driving Engine for Human Motion Generation

Zixiang Zhou, Baoyuan Wang

Generating controllable and editable human motion sequences is a key challenge in 3D Avatar generation. It has been labor-intensive to generate and animate human motion for a long…

cs.CV2022★ 3 cited

Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis

Duomin Wang, Yu Deng, Zixin Yin +2

We present a novel one-shot talking head synthesis method that achieves disentangled and fine-grained control over lip motion, eye gaze&blink, head pose, and emotional expression.…

cs.CV2022

Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image

Yu Deng, Baoyuan Wang, Heung-Yeung Shum

A key challenge for novel view synthesis of monocular portrait images is 3D consistency under continuous pose variations. Most existing methods rely on 2D generative models which o…

cs.CV2022★ 3 cited

Hand Avatar: Free-Pose Hand Animation and Rendering from Monocular Video

Xingyu Chen, Baoyuan Wang, Heung-Yeung Shum

We present HandAvatar, a novel representation for hand animation and rendering, which can generate smoothly compositional geometry and self-occlusion-aware texture. Specifically, w…

cs.CV2022★ 3 cited

Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation

Wenbin Zhu, Chien-Yi Wang, Kuan-Lun Tseng +2

Due to the rising concern of data privacy, it's reasonable to assume the local client data can't be transferred to a centralized server, nor their associated identity label is prov…

cs.CV2022

Privacy-preserving Online AutoML for Domain-Specific Face Detection

Chenqian Yan, Yuge Zhang, Quanlu Zhang +4

Despite the impressive progress of general face detection, the tuning of hyper-parameters and architectures is still critical for the performance of a domain-specific face detector…

cs.CV2022★ 4 cited

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

Chaoda Zheng, Xu Yan, Haiming Zhang +4

3D single object tracking (3D SOT) in LiDAR point clouds plays a crucial role in autonomous driving. Current approaches all follow the Siamese paradigm based on appearance matching…