Jiapeng Zhu

Orcid: 0000-0001-9198-0304

Affiliations:
  • Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong


According to our database1, Jiapeng Zhu authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
In-Domain GAN Inversion for Faithful Reconstruction and Editability.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

2023
GH-Feat: Learning Versatile Generative Hierarchical Features From GANs.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis.
CoRR, 2023

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis.
CoRR, 2023

Learning Modulated Transformation in GANs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

One-Shot Generative Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Disentangled Inference for GANs With Latently Invertible Autoencoder.
Int. J. Comput. Vis., 2022

Interpreting Class Conditional GANs with Channel Awareness.
CoRR, 2022

Region-Based Semantic Factorization in GANs.
Proceedings of the International Conference on Machine Learning, 2022

3D-Aware Indoor Scene Synthesis with Depth Priors.
Proceedings of the Computer Vision - ECCV 2022, 2022

High-Fidelity GAN Inversion with Padding Space.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Low-Rank Subspaces in GANs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Uncertainty Principles of Encoding GANs.
Proceedings of the 38th International Conference on Machine Learning, 2021

Generative Hierarchical Features From Synthesizing Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
In-Domain GAN Inversion for Real Image Editing.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Latent Variables on Spheres for Sampling and Spherical Inference.
CoRR, 2019

Curriculum Learning for Deep Generative Models with Clustering.
CoRR, 2019

LIA: Latently Invertible Autoencoder with Adversarial Learning.
CoRR, 2019


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