Jun-Yan Zhu

Orcid: 0000-0001-8504-3410

According to our database¹, Jun-Yan Zhu authored at least 89 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

One-Step Image Translation with Text-to-Image Models.

[BibT_eX]

[DOI]

CoRR, 2024

Consolidating Attention Features for Multi-view Image Editing.

[BibT_eX]

[DOI]

CoRR, 2024

CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting.

[BibT_eX]

[DOI]

CoRR, 2024

FlashTex: Fast Relightable Mesh Texturing with LightControlNet.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Text-Guided Synthesis of Eulerian Cinemagraphs.

[BibT_eX]

[DOI]

ACM Trans. Graph., December, 2023

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Multimodal ultrasound features of breast cancers: correlation with molecular subtypes.

[BibT_eX]

[DOI]

BMC Medical Imaging, December, 2023

Synthesizing Artistic Cinemagraphs from Text.

[BibT_eX]

[DOI]

CoRR, 2023

Content-based Search for Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Zero-shot Image-to-Image Translation.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

SIGGRAPH 2023 Course on Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

Holistic Evaluation of Text-to-Image Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating Data Attribution for Text-to-Image Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Ablating Concepts in Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dense Text-to-Image Generation with Attention Modulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D-aware Blending with Generative NeRFs.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Expressive Text-to-Image Generation with Rich Text.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Controllable Visual-Tactile Synthesis.

[BibT_eX]

[DOI]

Ruihan Gao

Wenzhen Yuan

Jun-Yan Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Domain Expansion of Image Generators.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Concept Customization of Text-to-Image Diffusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Scaling up GANs for Text-to-Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3D-aware Conditional Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generalizing Dataset Distillation via Deep Generative Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Rewriting geometric rules of a GAN.

[BibT_eX]

[DOI]

Sheng-Yu Wang

David Bau

Jun-Yan Zhu

ACM Trans. Graph., 2022

GAN Compression: Efficient Architectures for Interactive Conditional GANs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Content-Based Search for Deep Generative Models.

[BibT_eX]

[DOI]

CoRR, 2022

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

GAN-Supervised Dense Visual Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On Aliased Resizing and Surprising Subtleties in GAN Evaluation.

[BibT_eX]

[DOI]

Gaurav Parmar

Richard Zhang

Jun-Yan Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Ensembling Off-the-shelf Models for GAN Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Depth-supervised NeRF: Fewer Views and Faster Training for Free.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dataset Distillation by Matching Training Trajectories.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

SDEdit: Image Synthesis and Editing with Stochastic Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2021

On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation.

[BibT_eX]

[DOI]

Gaurav Parmar

Richard Zhang

Jun-Yan Zhu

CoRR, 2021

Advances in neural rendering.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

Contrastive Feature Loss for Image Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Sketch Your Own GAN.

[BibT_eX]

[DOI]

Sheng-Yu Wang

David Bau

Jun-Yan Zhu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Editing Conditional Radiance Fields.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ensembling With Deep Generative Views.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Anycost GANs for Interactive Image Synthesis and Editing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Understanding the role of individual units in a deep neural network.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2020

Guest Editorial: Generative Adversarial Networks for Computer Vision.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

State of the Art on Neural Rendering.

[BibT_eX]

[DOI]

Ricardo Martin-Brualla

Comput. Graph. Forum, 2020

Differentiable Augmentation for Data-Efficient GAN Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Swapping Autoencoder for Deep Image Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Contrastive Learning for Unpaired Image-to-Image Translation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Transforming and Projecting Images into Class-Conditional Generative Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Rewriting a Deep Generative Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Diverse Image Generation via Self-Conditioned GANs.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Semantic photo manipulation with a generative image prior.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

Learning the signatures of the human grasp using a scalable tactile glove.

[BibT_eX]

[DOI]

Nat., 2019

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract).

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Synthesize and Manipulate Natural Images.

[BibT_eX]

[DOI]

Jun-Yan Zhu

IEEE Computer Graphics and Applications, 2019

Propagation Networks for Model-Based Control Under Partial Observation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Visualizing and Understanding GANs.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Seeing What a GAN Cannot Generate.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semantic Image Synthesis With Spatially-Adaptive Normalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Connecting Touch and Vision via Cross-Modal Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Visual Object Networks: Image Generation with Disentangled 3D Representation.

[BibT_eX]

[DOI]

CoRR, 2018

Dataset Distillation.

[BibT_eX]

[DOI]

CoRR, 2018

Video-to-Video Synthesis.

[BibT_eX]

[DOI]

CoRR, 2018

Visual Object Networks: Image Generation with Disentangled 3D Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

3D-Aware Scene Manipulation via Inverse Graphics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Video-to-Video Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Generating Adversarial Examples with Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

CyCADA: Cycle-Consistent Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Spatially Transformed Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Real-time user-guided image colorization with learned deep priors.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

Light field video capture using a learning-based hybrid imaging system.

[BibT_eX]

[DOI]

Ting-Chun Wang

Jun-Yan Zhu

Nima Khademi Kalantari

Alexei A. Efros

Ravi Ramamoorthi

ACM Trans. Graph., 2017

Toward Multimodal Image-to-Image Translation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Image-to-Image Translation with Conditional Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Generative Visual Manipulation on the Natural Image Manifold.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

A 4D Light-Field Dataset and CNN Architectures for Material Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Learning a Discriminative Model for the Perception of Realism in Composite Images.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

AverageExplorer: interactive exploration and alignment of visual data collections.

[BibT_eX]

[DOI]

Jun-Yan Zhu

Yong Jae Lee

Alexei A. Efros

ACM Trans. Graph., 2014

Weakly supervised histopathology cancer image segmentation and classification.

[BibT_eX]

[DOI]

Medical Image Anal., 2014

Data-driven visual computing.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2014 Courses, Shenzhen, China, December 3-6, 2014, 2014

MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Motion-Aware Gradient Domain Video Composition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

2012

Unsupervised object class discovery via saliency-guided multiple class learning.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Jun-Yan Zhu

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...