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Found 5 papers, 3 papers with code
PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal
For the prompt generation, we first propose a prompt pre-training strategy to train a frequency prompt encoder that encodes the ground-truth image into LF and HF prompts.
Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework
We develop a new optimization algorithm named the Alternating Proximal Multiplier Method (APMM) to iteratively solve the proposed tensor completion model.
GRIG: Few-Shot Generative Residual Image Inpainting
Image inpainting is the task of filling in missing or masked region of an image with semantically meaningful contents.
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning
HCD consists of a hierarchical dehazing network (HDN) and a novel hierarchical contrastive loss (HCL).
Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars
We introduce a novel attribute similarity metric to encourage networks to learn the style of facial attributes from the exemplar in a self-supervised way.
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