activity
20182023
most citedCTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution

167 citations · 236 across the 18 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.CV2023★ 1 cited

High-Fidelity Clothed Avatar Reconstruction from a Single Image

Tingting Liao, Xiaomei Zhang, Yuliang Xiu +7

This paper presents a framework for efficient 3D clothed avatar reconstruction. By combining the advantages of the high accuracy of optimization-based methods and the efficiency of…

cs.CV2023

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver

Xianpeng Liu, Ce Zheng, Kelvin Cheng +3

The main challenge of monocular 3D object detection is the accurate localization of 3D center. Motivated by a new and strong observation that this challenge can be remedied by a 3D…

cs.CV2023★ 2 cited

OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering

Zhiyuan Ma, Xiangyu Zhu, Guojun Qi +2

Controllability, generalizability and efficiency are the major objectives of constructing face avatars represented by neural implicit field. However, existing methods have not mana…

cs.CV2023

POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery

Ce Zheng, Xianpeng Liu, Guo-Jun Qi +1

Transformer architectures have achieved SOTA performance on the human mesh recovery (HMR) from monocular images. However, the performance gain has come at the cost of substantial m…

cs.CV2023

AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+

Xiao Wang, Ying Wang, Ziwei Xuan +1

Unsupervised learning of vision transformers seeks to pretrain an encoder via pretext tasks without labels. Among them is the Masked Image Modeling (MIM) aligned with pretraining o…

cs.CV2023

DiffMesh: A Motion-aware Diffusion Framework for Human Mesh Recovery from Videos

Ce Zheng, Xianpeng Liu, Qucheng Peng +3

Human mesh recovery (HMR) provides rich human body information for various real-world applications. While image-based HMR methods have achieved impressive results, they often strug…

cs.CV2023

Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search

Benzhi Wang, Yang Yang, Jinlin Wu +2

Weakly supervised person search aims to jointly detect and match persons with only bounding box annotations. Existing approaches typically focus on improving the features by explor…

cs.CV2023★ 10 cited

MorphGANFormer: Transformer-based Face Morphing and De-Morphing

Na Zhang, Xudong Liu, Xin Li +1

Semantic face image manipulation has received increasing attention in recent years. StyleGAN-based approaches to face morphing are among the leading techniques; however, they often…