119 citations · 163 across the 11 of their papers we have counts for
5 papers · 2 filters
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…
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…
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…
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…
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…