Keqiang Sun

Orcid: 0000-0003-2900-1202

According to our database1, Keqiang Sun authored at least 14 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CGOF++: Controllable 3D Face Synthesis With Conditional Generative Occupancy Fields.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

ECNet: Effective Controllable Text-to-Image Diffusion Models.
CoRR, 2024

2023
Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos.
CoRR, 2023

JourneyDB: A Benchmark for Generative Image Understanding.
CoRR, 2023

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.
CoRR, 2023

Better Aligning Text-to-Image Models with Human Preference.
CoRR, 2023

JourneyDB: A Benchmark for Generative Image Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Human Preference Score: Better Aligning Text-to-image Models with Human Preference.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Inverting Generative Adversarial Renderer for Face Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Human Segmentation Based on Compressed Deep Convolutional Neural Network.
IEEE Access, 2020

2019
FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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