引导式测验 · 简单 等级
修复和修复测验
了解蒙版如何指导图像修复以及修复如何将图像内容扩展到原始边框和画布限制之外。
问题 1 的 8
补漆有什么作用?
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- 补漆有什么作用?
- 重新生成图像内的遮罩区域
- 将图像扩展到其边界之外
- 将文本转换为语音
- 压缩图像文件
- 外画有什么作用?
- 去除照片中的颜色
- 生成超出原始边缘的新内容
- 检测人脸
- 锐化模糊像素
- How does RePaint use the known region during diffusion-based inpainting?
- It permanently freezes every unmasked pixel with no resampling
- It removes the mask before denoising
- It repeatedly resamples and conditions generation on known pixels during reverse diffusion
- It trains a new model from scratch for each image
- What architecture does LaMa introduce for large-mask image inpainting?
- A language-only transformer
- A nearest-neighbor search over captions
- A fixed-color fill with no learned model
- Fast Fourier Convolutions with a receptive field that supports image-wide context
- 是什么引导出现在屏蔽区域中的内容?
- 文本提示和周围的像素
- 仅文件名
- 设备的时钟
- 图像的压缩级别
- 为什么外画对于重构很有用?
- 它删除了主题
- 它可以通过添加风景来改变照片的纵横比
- 它对图像进行加密
- 它会降低分辨率
- Besides Fourier Convolutions, what two components does the LaMa paper identify in its large-mask inpainting method?
- A speech decoder and image captioner
- A fixed image palette and nearest-neighbor lookup
- A high receptive-field perceptual loss and large training masks
- A video tracker and optical-flow classifier
- What does a mask specify in an inpainting task?
- The image’s camera model
- The order of training examples
- The output file’s copyright status
- Which image region is to be modified or synthesized