孟辰烨

电子信息博士

2024年起在浙江大学攻读博士学位。

2019—2023年就读于江南大学数字媒体技术专业,曾连续两年获国家奖学金。

关注生成模型的评价与偏好对齐,研究场景图、细粒度属性和高效蒸馏如何改善生成内容。

项目与作品

研究论文 · 10篇

2026CHI

PoemPalette: Facilitating Poetry Creative Exploration and Foundational Understanding through the Ideorealm Alignment of Paintings and Poems

2026ACM MM

SEPO: Self-Evolving Preference Optimization for Diffusion Alignment via Dynamic Rule Refinement

2026CVPR

Circular-DPO: Aligning Multi-Stage 3D Generative Models via Preference Feedback Loop

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

2025FITEE

Image Generation Evaluation: A Comprehensive Survey of Human and Automatic Evaluations

2024arXiv · 预印本

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

2023IJCAI

Learning Object Consistency and Interaction in Image Generation from Scene Graphs

学术荣誉

江南大学2023届至善荣誉生“特别荣誉奖”