Shen, Yujun

Interpreting the Latent Space of GANs for Semantic Face Editing

Shen, Y., Gu, J., Tang, X., & Zhou, B. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 1,063

Notice of Removal: VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Luo, Z., Chen, D., Zhang, Y., Huang, Y., Wang, L., Shen, Y., Zhao, D., Zhou, J., & Tan, T. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods

Cited by 144

LivePhoto: Real Image Animation with Text-guided Motion Control

Chen, X., Liu, Z., Chen, M., Feng, Y., Liu, Y., Shen, Y., & Zhao, H. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 18

Deep Generative Models on 3D Representations: A Survey

Shi, Z., Peng, S., Xu, Y., Geiger, A., Liao, Y., & Shen, Y. (2022) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 14

MANF serves as a novel hepatocyte factor to promote liver regeneration after 2/3 partial hepatectomy via doubly targeting Wnt/β-catenin signaling

Liang, Y., Mei, Q., He, E., Ballar, P., Wei, C., Wang, Y., Dong, Y., Zhou, J., Tao, X., Qu, W., et al. (2024) · Cell Death & Disease

Liver physiology and pathologyWnt/β-catenin signaling in development and cancer

Cited by 9