Xun Huang

Affiliations:
  • NVIDIA Research, CA, USA
  • Cornell University, Ithaca, NY, USA


According to our database1, Xun Huang authored at least 14 papers between 2017 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising Diffusion.
CoRR, 2024

JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Magic3D: High-Resolution Text-to-3D Content Creation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.
CoRR, 2022

Multimodal Conditional Image Synthesis with Product-of-Experts GANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications.
Proc. IEEE, 2021

2019
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Few-Shot Unsupervised Image-to-Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Multimodal Unsupervised Image-to-Image Translation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Controllable Video Generation With Sparse Trajectories.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Evaluate Image Captioning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization.
Proceedings of the 5th International Conference on Learning Representations, 2017

Stacked Generative Adversarial Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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