Yi Huang

Orcid: 0000-0002-8443-6877

According to our database1, Yi Huang authored at least 16 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models.
CoRR, August, 2025

Diffusion Model-Based Image Editing: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

OutDreamer: Video Outpainting with a Diffusion Transformer.
CoRR, June, 2025

Leveraging Contrast Information for Efficient Document Shadow Removal.
CoRR, April, 2025

DCD-Net: Weakly supervised decomposition learning for real-world image dehazing.
Signal Process., 2025

Dual-Schedule Inversion: Training- and Tuning-Free Inversion for Real Image Editing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024
V4D: Voxel for 4D Novel View Synthesis.
IEEE Trans. Vis. Comput. Graph., February, 2024

Learning Image-Adaptive Lookup Tables With Spatial Awareness for Image Harmonization.
IEEE Trans. Consumer Electron., February, 2024

WaveDM: Wavelet-Based Diffusion Models for Image Restoration.
IEEE Trans. Multim., 2024

DIVE: Taming DINO for Subject-Driven Video Editing.
CoRR, 2024

MagicFight: Personalized Martial Arts Combat Video Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections.
Proceedings of the Computer Vision - ECCV 2024, 2024

MagicEraser: Erasing Any Objects via Semantics-Aware Control.
Proceedings of the Computer Vision - ECCV 2024, 2024

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
WaveDM: Wavelet-Based Diffusion Models for Image Restoration.
CoRR, 2023

2020
Deeply Associative Two-Stage Representations Learning Based on Labels Interval Extension Loss and Group Loss for Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2020


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