31 citations · 74 across the 13 of their papers we have counts for
22 papers · 1 filter
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
Wencan Cheng, Hao Tang, Luc Van Gool +1
Extracting keypoint locations from input hand frames, known as 3D hand pose estimation, is a critical task in various human-computer interaction applications. Essentially, the 3D h…
Towards Online Real-Time Memory-based Video Inpainting Transformers
Guillaume Thiry, Hao Tang, Radu Timofte +1
Video inpainting tasks have seen significant improvements in recent years with the rise of deep neural networks and, in particular, vision transformers. Although these models show…
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
Weiyao Wang, Pierre Gleize, Hao Tang +3
Neural Radiance Fields (NeRF) exhibit remarkable performance for Novel View Synthesis (NVS) given a set of 2D images. However, NeRF training requires accurate camera pose for each…
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation
Hao Tang, Ling Shao, Nicu Sebe +1
We present a novel graph Transformer generative adversarial network (GTGAN) to learn effective graph node relations in an end-to-end fashion for challenging graph-constrained archi…
Towards High-quality HDR Deghosting with Conditional Diffusion Models
Qingsen Yan, Tao Hu, Yuan Sun +5
High Dynamic Range (HDR) images can be recovered from several Low Dynamic Range (LDR) images by existing Deep Neural Networks (DNNs) techniques. Despite the remarkable progress, DN…
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
Yifan Jiang, Hao Tang, Jen-Hao Rick Chang +3
The task of novel view synthesis aims to generate unseen perspectives of an object or scene from a limited set of input images. Nevertheless, synthesizing novel views from a single…