Ceyuan Yang

Orcid: 0000-0003-1417-1938

According to our database1, Ceyuan Yang authored at least 41 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.
CoRR, 2024

Real-time 3D-aware Portrait Editing from a Single Image.
CoRR, 2024

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

SceneWiz3D: Towards Text-guided 3D Scene Composition.
CoRR, 2023

GenDeF: Learning Generative Deformation Field for Video Generation.
CoRR, 2023

BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation.
CoRR, 2023

SMaRt: Improving GANs with Score Matching Regularity.
CoRR, 2023

SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models.
CoRR, 2023

LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.
CoRR, 2023

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

Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation.
CoRR, 2023

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
CoRR, 2023

Spatial Steerability of GANs via Self-Supervision from Discriminator.
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

Revisiting the Evaluation of Image Synthesis with GANs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Smooth Video Composition.
Proceedings of the Eleventh International Conference on Learning Representations, 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

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GLeaD: Improving GANs with A Generator-Leading Task.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Accelerating Diffusion Models via Early Stop of the Diffusion Process.
CoRR, 2022

Improving GANs with A Dynamic Discriminator.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

3D-aware Image Synthesis via Learning Structural and Textural Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Improving GAN Equilibrium by Raising Spatial Awareness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis.
Int. J. Comput. Vis., 2021

Data-Efficient Instance Generation from Instance Discrimination.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Instance Localization for Self-Supervised Detection Pretraining.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

2020
Unsupervised Landmark Learning from Unpaired Data.
CoRR, 2020

Video Representation Learning with Visual Tempo Consistency.
CoRR, 2020

Learning Where to Focus for Efficient Video Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Temporal Pyramid Network for Action Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Motion Priors for Efficient Video Object Detection.
CoRR, 2019

Adapting Object Detectors via Selective Cross-Domain Alignment.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs.
IEEE Trans. Geosci. Remote. Sens., 2018

Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Pose Guided Human Video Generation.
Proceedings of the Computer Vision - ECCV 2018, 2018


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