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Article
Open AccessPRN: progressive reasoning network and its image completion applications
Ancient murals embody profound historical, cultural, scientific, and artistic values, yet many are afflicted with challenges such as pigment shedding or missing parts. While deep learning-based completion tech...
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Article
Open AccessFHS-adapter: fine-grained hierarchical semantic adapter for Chinese landscape paintings generation
How to migrate text-to-image models based on pre-trained diffusion models to adapt them to domain generation tasks is a common problem. In particular, the generation task for Chinese landscape paintings with u...
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Article
Open AccessConvSRGAN: super-resolution inpainting of traditional Chinese paintings
Existing image super-resolution methods have made remarkable advancements in enhancing the visual quality of real-world images. However, when it comes to restoring Chinese paintings, these methods encounter un...
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Article
Open AccessSgrgan: sketch-guided restoration for traditional Chinese landscape paintings
Image restoration is a prominent field of research in computer vision. Restoring broken paintings, especially ancient Chinese artworks, is a significant challenge for current restoration models. The difficulty...
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Article
C3N: content-constrained convolutional network for mural image completion
Ancient murals, suffering from severe diseases, usually exhibit the absence or distortion of local areas. The damaged murals severely impaired people’s visual appreciation and satisfaction in the digital conse...
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Article
Contour-enhanced CycleGAN framework for style transfer from scenery photos to Chinese landscape paintings
Image style transfer based on the generative adversarial network model has become an important research field. Among these generative adversarial network models, a distinct advantage of CycleGAN is that it can...
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Article
Image denoising via structure-constrained low-rank approximation
Low-rank approximation-based methods have recently achieved impressive results in image restoration. Generally, the low-rank constraint integrated with the nonlocal self-similarity prior is enforced for image ...
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Chapter and Conference Paper
A Novel Approach to Online Image Education Resource Retrieval by Semantic Network and Interactive Filtering
Image resources play an important role in education. With the rapid development of the Internet techniques, it is an effective way to get large amount of education resources through web search. While it is har...