1 code implementation • 25 Apr 2024 • Guohao Li, Hongyu Yang, Di Huang, Yunhong Wang
Generative 3D face models featuring disentangled controlling factors hold immense potential for diverse applications in computer vision and computer graphics.
1 code implementation • 21 Apr 2024 • Zichen Tang, Hongyu Yang
In this framework, we utilize an expressive generator to synthesize stylized faces and a triple-branch discriminator module to improve the visual quality and style consistency of the generated faces.
no code implementations • 14 Apr 2024 • Xuening Yuan, Hongyu Yang, Yueming Zhao, Di Huang
Recent progress in text-to-3D creation has been propelled by integrating the potent prior of Diffusion Models from text-to-image generation into the 3D domain.
1 code implementation • 6 Apr 2024 • Xiefan Guo, Jinlin Liu, Miaomiao Cui, Jiankai Li, Hongyu Yang, Di Huang
Recent strides in the development of diffusion models, exemplified by advancements such as Stable Diffusion, have underscored their remarkable prowess in generating visually compelling images.
no code implementations • 13 Mar 2024 • Hebeizi Li, Hongyu Yang, Di Huang
Facial Expression Recognition (FER) has consistently been a focal point in the field of facial analysis.
no code implementations • 5 Mar 2024 • Yaoyan Zheng, Hongyu Yang, Di Huang
Recent advancements in video semantic segmentation have made substantial progress by exploiting temporal correlations.
1 code implementation • 7 Dec 2023 • Mingwu Zheng, Haiyu Zhang, Hongyu Yang, Liming Chen, Di Huang
Accurate representations of 3D faces are of paramount importance in various computer vision and graphics applications.
1 code implementation • 2 Aug 2023 • Chunwei Yang, Xiaoxu Chen, Lijun Sun, Hongyu Yang, Yuankai Wu
To address this gap, we propose an unsupervised method called Floss that automatically regularizes learned representations in the frequency domain.
no code implementations • 22 Jul 2023 • Linchao He, Hongyu Yan, Mengting Luo, Hongjie Wu, Kunming Luo, Wang Wang, Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang, Jiancheng Lv
To address this issue, we propose to utilize the history information of the diffusion-based inverse solvers.
no code implementations • 30 Jun 2023 • Xianjun Han, Qianqian Chen, Zhaoyang Xie, Xuejun Li, Hongyu Yang
This design provides a simple and accurate way to leverage multiscale progressive text prior prompts for medical image segmentation.
1 code implementation • CVPR 2023 • Mingwu Zheng, Haiyu Zhang, Hongyu Yang, Di Huang
Realistic face rendering from multi-view images is beneficial to various computer vision and graphics applications.
1 code implementation • ICCV 2023 • Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang
Inspired by recent advances in diffusion models, which are reminiscent of denoising autoencoders, we investigate whether they can acquire discriminative representations for classification via generative pre-training.
no code implementations • 7 Dec 2022 • Kaicheng Li, Hongyu Yang, Binghui Chen, Pengyu Li, Biao Wang, Di Huang
Along with the widespread use of face recognition systems, their vulnerability has become highlighted.
1 code implementation • 24 Nov 2022 • Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu
Although DRL has achieved important advancements in this field, the existing works pay little attention to the explainability and safety issues related to DRL controllers, particularly the safety under adversarial attacks.
no code implementations • 22 Aug 2022 • Zengran Wang, Chen Min, Zheng Ge, Yinhao Li, Zeming Li, Hongyu Yang, Di Huang
Instead of using a sole monocular depth method, in this work, we propose a novel Surround-view Temporal Stereo (STS) technique that leverages the geometry correspondence between frames across time to facilitate accurate depth learning.
1 code implementation • 14 Jul 2022 • Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu
By this means, STPN allows cross-talk of spatial and temporal factors for modeling delay propagation.
2 code implementations • CVPR 2022 • Mingwu Zheng, Hongyu Yang, Di Huang, Liming Chen
Precise representations of 3D faces are beneficial to various computer vision and graphics applications.
Ranked #2 on Face Alignment on FaceScape
1 code implementation • 21 Mar 2022 • Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang
The ablation study gives more insights into our method that could achieve significant gains with a simple design, while having better generalization capability and stability.
1 code implementation • CVPR 2022 • Biwen Lei, Xiefan Guo, Hongyu Yang, Miaomiao Cui, Xuansong Xie, Di Huang
The network is mainly composed of two components: a context-aware local retouching layer (LRL) and an adaptive blend pyramid layer (BPL).
1 code implementation • 27 Oct 2021 • Haoxiang Ma, Hongyu Yang, Di Huang
The recent studies on semantic segmentation are starting to notice the significance of the boundary information, where most approaches see boundaries as the supplement of semantic details.
4 code implementations • ICCV 2021 • Xiefan Guo, Hongyu Yang, Di Huang
Deep generative approaches have recently made considerable progress in image inpainting by introducing structure priors.
no code implementations • 27 Jul 2021 • Daping Zhang, Hongyu Yang, Jiayu Cao
Agriculture is an essential industry in the both society and economy of a country.
no code implementations • 14 Jun 2021 • Xiangnan Yin, Di Huang, Hongyu Yang, Zehua Fu, Yunhong Wang, Liming Chen
The existing auto-encoder based face pose editing methods primarily focus on modeling the identity preserving ability during pose synthesis, but are less able to preserve the image style properly, which refers to the color, brightness, saturation, etc.
no code implementations • 12 Aug 2020 • Yuting Liu, Zheng Wang, Miaojing Shi, Shin'ichi Satoh, Qijun Zhao, Hongyu Yang
We formulate the mutual transformations between the outputs of regression- and detection-based models as two scene-agnostic transformers which enable knowledge distillation between the two models.
1 code implementation • CVPR 2020 • Wenchao Du, Hu Chen, Hongyu Yang
Recently, cross domain transfer has been applied for unsupervised image restoration tasks.
no code implementations • 10 Jan 2019 • Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain
The two underlying requirements of face age progression, i. e. aging accuracy and identity permanence, are not well studied in the literature.
no code implementations • 31 Oct 2018 • Wenchao Du, Hu Chen, Peixi Liao, Hongyu Yang, Ge Wang, Yi Zhang
Noise and artifacts are intrinsic to low dose CT (LDCT) data acquisition, and will significantly affect the imaging performance.
1 code implementation • CVPR 2018 • Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain
The two underlying requirements of face age progression, i. e. aging accuracy and identity permanence, are not well studied in the literature.
7 code implementations • ICML 2017 • Hongyu Yang, Cynthia Rudin, Margo Seltzer
They have a logical structure that is a sequence of IF-THEN rules, identical to a decision list or one-sided decision tree.
no code implementations • 4 Nov 2015 • Hongyu Yang, Di Huang, Yunhong Wang, Heng Wang, Yuanyan Tang
Face aging simulation has received rising investigations nowadays, whereas it still remains a challenge to generate convincing and natural age-progressed face images.