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Jiangtao Nie

2 accepted papers

2025

Co-Painter: Fine-Grained Controllable Image Stylization via Implicit Decoupling and Adaptive Injection

ICCV 2025poster

Controllable diffusion models have been widely applied in image stylization. However, existing methods often treat the style in the reference image as a single, indivisible entity, which makes it difficult to transfer specific stylistic attributes. To address this issue, we propose a fine-grained co…

2020

Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution

CVPR 2020poster

The key for fusion based hyperspectral image (HSI) super-resolution (SR) is to infer the posteriori of a latent HSI using appropriate image prior and likelihood that depends on degeneration. However, in practice the priors of high-dimensional HSIs can be extremely complicated and the degeneration is…

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