GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation. - Yu Deng 006; Jiaolong Yang; Jianfeng Xiang; Xin Tong 001 (CVPR, 2022)

C2 AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation. - Jinheng Xie; Jianfeng Xiang; Junliang Chen 002; Xianxu Hou; Xiaodong Zhao; Linlin Shen (CVPR, 2022)

RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer. - Jianfeng Xiang; Junliang Chen 002; Wenshuang Liu; Xianxu Hou; Linlin Shen (ECCV (22), 2022)

Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation. - Jinheng Xie; Jianfeng Xiang; Junliang Chen 002; Xianxu Hou; Xiaodong Zhao; Linlin Shen (CoRR, 2022)

GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds. - Jianfeng Xiang; Jiaolong Yang; Yu Deng 006; Xin Tong 001 (ICCV, 2023)

3D-aware Image Generation using 2D Diffusion Models. - Jianfeng Xiang; Jiaolong Yang; Binbin Huang; Xin Tong 001 (ICCV, 2023)

AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections. - Yue Wu 012; Sicheng Xu; Jianfeng Xiang; Fangyun Wei; Qifeng Chen; Jiaolong Yang; Xin Tong 001 (SIGGRAPH Asia, 2023)

Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-trained Diffusion Priors. - Ruicheng Wang; Jianfeng Xiang; Jiaolong Yang; Xin Tong 001 (ECCV (56), 2024)

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision. - Ruicheng Wang; Sicheng Xu; Cassie Dai; Jianfeng Xiang; Yu Deng 006; Xin Tong 001; Jiaolong Yang (CVPR, 2025)

Structured 3D Latents for Scalable and Versatile 3D Generation. - Jianfeng Xiang; Zelong Lv; Sicheng Xu; Yu Deng 006; Ruicheng Wang; Bowen Zhang 010; Dong Chen 003; Xin Tong 001; Jiaolong Yang (CVPR, 2025)

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details. - Ruicheng Wang; Sicheng Xu; Yue Dong 001; Yu Deng 006; Jianfeng Xiang; Zelong Lv; Guangzhong Sun; Xin Tong 001; Jiaolong Yang (CoRR, 2025)