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Jan 15, 2024 · This paper develops a new image synthesis approach to transfer an example image (style image) to other images (content images) by using Deep Convolutional ...
May 15, 2024 · Given style and content, the goal is to extract the style characteristics of the style and merge them to the geometric features of the content.
May 31, 2024 · After using the SIFT algorithm to extract image keypoints and compute feature ... Saliency Constrained Arbitrary Image Style Transfer using SIFT and DCNN.
Mar 15, 2024 · We show that FeatUp significantly outperforms other feature upsampling and image super-resolution approaches in class activation map generation, transfer ...
Missing: DCNN. | Show results with:DCNN.
Mar 28, 2024 · Various techniques can improve model performance using image embeddings, such as similarity, PCA, hyperparameter tuning, transfer learning, and the use of ...
Missing: DCNN. | Show results with:DCNN.
Jun 24, 2024 · Using diffusion model as constraint: Empower Image Restoration ... Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network ...
Jun 28, 2024 · These models, like OpenAI's CLIP, are already trained to recognize many visual patterns. They can do various tasks, like image classification, object detection, ...
Missing: Saliency DCNN.
Sep 25, 2023 · Image Style Transfer Using Convolutional Neural Networks IF:9 Related Papers ... images of an arbitrary scene taken using different exposures. T ...
Missing: DCNN. | Show results with:DCNN.
May 14, 2024 · The strategy aligns palette between images with precise chromatic aberration control. Combining a deep learning-based image segmen- tation, the color mapping ...
Missing: DCNN. | Show results with:DCNN.
