no code implementations • 18 Mar 2024 • Ruicheng Wang, Jianfeng Xiang, Jiaolong Yang, Xin Tong
We propose a novel image editing technique that enables 3D manipulations on single images, such as object rotation and translation.
no code implementations • 5 Sep 2023 • Yue Wu, Sicheng Xu, Jianfeng Xiang, Fangyun Wei, Qifeng Chen, Jiaolong Yang, Xin Tong
For the new task, we base our method on the generative radiance manifold representation and equip it with learnable facial and head-shoulder deformations.
no code implementations • ICCV 2023 • Jianfeng Xiang, Jiaolong Yang, Binbin Huang, Xin Tong
In this paper, we introduce a novel 3D-aware image generation method that leverages 2D diffusion models.
no code implementations • ICCV 2023 • Jianfeng Xiang, Jiaolong Yang, Yu Deng, Xin Tong
This paper proposes a novel 3D-aware GAN that can generate high resolution images (up to 1024X1024) while keeping strict 3D consistency as in volume rendering.
2 code implementations • 25 Mar 2022 • Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen
While class activation map (CAM) generated by image classification network has been widely used for weakly supervised object localization (WSOL) and semantic segmentation (WSSS), such classifiers usually focus on discriminative object regions.
1 code implementation • CVPR 2022 • Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen
While class activation map (CAM) generated by image classification network has been widely used for weakly supervised object localization (WSOL) and semantic segmentation (WSSS), such classifiers usually focus on discriminative object regions.
no code implementations • CVPR 2022 • Yu Deng, Jiaolong Yang, Jianfeng Xiang, Xin Tong
3D-aware image generative modeling aims to generate 3D-consistent images with explicitly controllable camera poses.