Template-Low-Level Vision Community

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General AI - Scientific Research Icon Resources

#Figure Count: 11

A general icon pack for AI research and academia, covering core visual elements such as neural networks, algorithmic logic, chip circuits, and data visualization, accurately meeting the academic expression needs in the AI field. The icons feature a concise and unified style, combining professionalism and intuitiveness. They can be directly used in scenarios such as illustrations for research papers, academic presentation PPTs, and community content posters, helping researchers efficiently complete visual presentations and making the expression of academic content clearer and more professionally textured.

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Large Model - Scientific Research Icon Resources

#Figure Count: 26

This AI Research Icon Pack is designed for researchers in the field of artificial intelligence. It covers common themes such as large models, multimodal learning, and text processing, providing a set of visual materials with a uniform style that are clear and concise. Suitable for academic presentations, paper illustrations, and technical documentation, it helps to effectively communicate complex concepts.

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Robot - Scientific Research Icon Resources

#Figure Count: 22

A general-purpose icon set tailored for cutting-edge academic research in AI, featuring core elements such as robots, robotic arms, and gauges. With a clean and modern design style, it helps streamline the creation of clear and professional academic presentations and document illustrations.

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IEEE TPAMI Template

#Journal Count: 17

《Towards Unified Deep Image Deraining: A Survey and A New Benchmark》

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IEEE TMM Template

#Journal Count: 15

《Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method》

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CVPR Template

#Conference Count: 13

《Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining》

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ICCV Template

#Conference Count: 14

《FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration》

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NeurIPS Template

#Conference Count: 16

《Rethinking Nighttime Image Deraining via Learnable Color Space Transformation》

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ECCV Template

#Conference Count: 12

《ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization》

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