Liuzhuozheng Li

According to our database1, Liuzhuozheng Li authored at least 16 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution.
CoRR, May, 2026

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds.
CoRR, April, 2026

Unlocking the Potential of Grounding DINO in Videos: Parameter-Efficient Adaptation for Limited-Data Spatial-Temporal Localization.
CoRR, April, 2026

VAE-REPA: Variational Autoencoder Representation Alignment for Efficient Diffusion Training.
CoRR, January, 2026

Understanding Guidance Scale in Diffusion Models from a Geometric Perspective.
Trans. Mach. Learn. Res., 2026

2025
Distribution Matching Distillation Meets Reinforcement Learning.
CoRR, November, 2025

EVTAR: End-to-End Try on with Additional Unpaired Visual Reference.
CoRR, November, 2025

Deforming Videos to Masks: Flow Matching for Referring Video Segmentation.
CoRR, October, 2025

CTA-Flux: Integrating Chinese Cultural Semantics into High-Quality English Text-to-Image Communities.
CoRR, August, 2025

NanoControl: A Lightweight Framework for Precise and Efficient Control in Diffusion Transformer.
CoRR, August, 2025

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer.
CoRR, August, 2025

No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves.
CoRR, May, 2025

MG-SLAM: Structure Gaussian Splatting SLAM With Manhattan World Hypothesis.
IEEE Trans Autom. Sci. Eng., 2025

2024
Structure Gaussian SLAM with Manhattan World Hypothesis.
CoRR, 2024

Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
CEIR: Concept-based Explainable Image Representation Learning.
CoRR, 2023


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