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20242026
most citedAccelerating Parallel Sampling of Diffusion Models

4 citations · 6 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status

Jinghao Zhang, Wen Qian, Hao Luo +2

Diffusion models have made compelling progress on facilitating high-throughput daily production. Nevertheless, the appealing customized requirements are remain suffered from instan…

cs.CV2024★ 1 cited

Uncovering the Text Embedding in Text-to-Image Diffusion Models

Hu Yu, Hao Luo, Fan Wang +1

The correspondence between input text and the generated image exhibits opacity, wherein minor textual modifications can induce substantial deviations in the generated image. While,…

cs.CV2024★ 1 cited

Text Data-Centric Image Captioning with Interactive Prompts

Yiyu Wang, Hao Luo, Jungang Xu +2

Supervised image captioning approaches have made great progress, but it is challenging to collect high-quality human-annotated image-text data. Recently, large-scale vision and lan…

cs.LG2024★ 4 cited

Accelerating Parallel Sampling of Diffusion Models

Zhiwei Tang, Jiasheng Tang, Hao Luo +2

Diffusion models have emerged as state-of-the-art generative models for image generation. However, sampling from diffusion models is usually time-consuming due to the inherent auto…

cs.CV2024

CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer

Yabing Wang, Fan Wang, Jianfeng Dong +1

Cross-lingual cross-modal retrieval has garnered increasing attention recently, which aims to achieve the alignment between vision and target language (V-T) without using any annot…