张晟源

电子信息博士

关注扩散模型与流匹配模型的蒸馏、偏好优化及生成质量评价,研究高效采样、训练稳定性与三维场景补全。

项目与作品

研究论文 · 10篇

2026AAAI

Diffusion Distillation With Direct Preference Optimization For Efficient 3D LiDAR Scene Completion

2026IJCV

SCoRE: Standardized Human Evaluation Provides a Reliable Measure for Semantic Consistency of Text-to-Image Generation

2026ECCV

InstaPano: Zero-shot Instance Layout Controlled Panorama Generation Via Global Attention Fusion

2026ICML

Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models

2026arXiv · 预印本

Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes

2025ICLR

Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation

2025ICCV

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion

2025ACM MM

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models

2024AAAI

Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models

2024arXiv · 预印本

LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations