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Peng Gao — most-cited papers & profile · Generative Models
← authors
·
overview
Peng Gao
74
papers ·
428
citations ·
27
h-index
University of Wollongong · Changzhou University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation
2026
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
2025
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
2025
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
2025
TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation
2025
ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos
2025
LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis
2025
Lumina-Image 2.0: A Unified and Efficient Image Generative Framework
2025
Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT
2025
Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
2025
IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models
2025
Improving Compositional Text-to-image Generation with Large Vision-Language Models
2023
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
2024
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers
2024
TerDiT: Ternary Diffusion Models with Transformers
2024
Top co-authors
Hongsheng Li
· 12
Dongyang Liu
· 9
Le Zhuo
· 8
Ruoyi Du
· 8
Yu Qiao
· 7
Zhen Li
· 7
Renrui Zhang
· 6
Qilong Wu
· 4
Xinyue Li
· 4
Yi Xin
· 4
Bin Fu
· 3
Fu-Yun Wang
· 3
Topics
cs.CV
cs.LG
eess.IV
cs.AI
cs.MM
cs.CL
Text-to-Image
Diffusion Models
Text-to-Video
Audio Generation