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20222024
most citedIP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

119 citations · 163 across the 11 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 1 cited

Effortless Cross-Platform Video Codec: A Codebook-Based Method

Kuan Tian, Yonghang Guan, Jinxi Xiang +3

Under certain circumstances, advanced neural video codecs can surpass the most complex traditional codecs in their rate-distortion (RD) performance. One of the main reasons for the…

cs.CV2023★ 3 cited

Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach

Feng Luo, Jinxi Xiang, Jun Zhang +2

The recent use of diffusion prior, enhanced by pre-trained text-image models, has markedly elevated the performance of image super-resolution (SR). To alleviate the huge computatio…

cs.CV2023★ 18 cited

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models

Fei Shen, Hu Ye, Jun Zhang +3

Recent work has showcased the significant potential of diffusion models in pose-guided person image synthesis. However, owing to the inconsistency in pose between the source and ta…

cs.CV2023★ 6 cited

Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information

Kuan Tian, Yonghang Guan, Jinxi Xiang +3

The state-of-the-art neural video codecs have outperformed the most sophisticated traditional codecs in terms of RD performance in certain cases. However, utilizing them for practi…

eess.IV2023

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression

Yue Lv, Jinxi Xiang, Jun Zhang +3

The latest advancements in neural image compression show great potential in surpassing the rate-distortion performance of conventional standard codecs. Nevertheless, there exists a…

cs.CV2023★ 119 cited

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Hu Ye, Jun Zhang, Sibo Liu +2

Recent years have witnessed the strong power of large text-to-image diffusion models for the impressive generative capability to create high-fidelity images. However, it is very tr…

eess.IV2023

Artificial intelligence for diagnosing and predicting survival of patients with renal cell carcinoma: Retrospective multi-center study

Siteng Chen, Xiyue Wang, Jun Zhang +8

Background: Clear cell renal cell carcinoma (ccRCC) is the most common renal-related tumor with high heterogeneity. There is still an urgent need for novel diagnostic and prognosti…