YapengTian/Single-Image-Super-Resolution

• highreadme#1

  Reposition the README's opening to clarify the repo's core purpose

  原因：

  当前

  A list of resources for example-based single image super-resolution, inspired by Awesome-deep-vision and Awesome Computer Vision .

  复制粘贴的修复

  复制

  A comprehensive collection of state-of-the-art single-image super-resolution (SISR) methods, including unified PyTorch implementations for popular models like SRCNN, EDSR, ESRGAN, and SwinIR. This repository serves as both a resource list and a practical framework for researchers and developers.

  待办完成忽略
• hightopics#2

  Add relevant topics to the repository

  原因：

  复制粘贴的修复

  复制

  super-resolution, single-image-super-resolution, deep-learning, computer-vision, pytorch, image-enhancement, sr-models, image-processing

  待办完成忽略
• highlicense#3

  Add a LICENSE file to the repository root

  原因：

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, or GPL-3.0). For example, for MIT:
  
  ```
  MIT License
  
  Copyright (c) [YEAR] [FULL NAME]
  
  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the "Software"), to deal
  in the Software without restriction, including without limitation the rights
  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  copies of the Software, and to permit persons to whom the Software is
  furnished to do so, subject to the following conditions:
  
  The above copyright notice and this permission notice shall be included in all
  copies or substantial portions of the Software.
  
  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  SOFTWARE.
  ```

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to increase the resolution of a single image using AI models?

  你：未被推荐
  AI 推荐顺序：

  1. Upscayl
  2. Real-ESRGAN
  3. Topaz Photo AI
  4. Waifu2x
  5. SwinIR
  6. Let's Enhance

  AI 推荐了 6 个替代方案，却始终没点名 YapengTian/Single-Image-Super-Resolution。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Compare state-of-the-art methods for example-based image resolution enhancement.

  你：未被推荐
  AI 推荐顺序：

  1. ESRGAN
  2. Real-ESRGAN
  3. SwinIR
  4. EDSR
  5. RCAN
  6. SRGAN

  AI 推荐了 6 个替代方案，却始终没点名 YapengTian/Single-Image-Super-Resolution。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of YapengTian/Single-Image-Super-Resolution?

  pass
  ✓AI 明确点名了 YapengTian/Single-Image-Super-Resolution

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts YapengTian/Single-Image-Super-Resolution in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 YapengTian/Single-Image-Super-Resolution

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo YapengTian/Single-Image-Super-Resolution solve, and who is the primary audience?

  pass
  ⚠AI 未点名 YapengTian/Single-Image-Super-Resolution —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？