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20162026
most citedMCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

133 citations · 530 across the 144 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling

Xin Luo, Jiahao Wang, Chenyuan Wu +6

Instruction-guided image editing has achieved remarkable progress, yet current models still face challenges with complex instructions and often require multiple samples to produce…

cs.CV2025

OmniGen2: Towards Instruction-Aligned Multimodal Generation

Chenyuan Wu, Pengfei Zheng, Ruiran Yan +19

In this work, we introduce OmniGen2, a versatile and open-source generative model designed to provide a unified solution for diverse generation tasks, including text-to-image, imag…

cs.CV20241 cited

MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Junjie Zhou, Zheng Liu, Ze Liu +6

Despite the rapidly growing demand for multimodal retrieval, progress in this field remains severely constrained by a lack of training data. In this paper, we introduce MegaPairs,…

cs.CV2024

NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation

PengFei Zheng, Yonggang Zhang, Zhen Fang +3

Image interpolation based on diffusion models is promising in creating fresh and interesting images. Advanced interpolation methods mainly focus on spherical linear interpolation,…

cs.CV2023

Invariant Representation via Decoupling Style and Spurious Features from Images

Ruimeng Li, Yuanhao Pu, Zhaoyi Li +2

This paper considers the out-of-distribution (OOD) generalization problem under the setting that both style distribution shift and spurious features exist and domain labels are mis…

cs.CV2022

Self-Supervised Text Erasing with Controllable Image Synthesis

Gangwei Jiang, Shiyao Wang, Tiezheng Ge +3

Recent efforts on scene text erasing have shown promising results. However, existing methods require rich yet costly label annotations to obtain robust models, which limits the use…