EasyOutPainter:一个步骤的图像外观绘图,既具有连续倍数和分辨率
概括
本研究介绍了用于连续倍数和任意分辨率在单个步骤中的新型图像外绘技术. 这些进步克服了现有的生成模型的局限性,使图像扩展更加灵活.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 图像超描,即超越图像界限的内容生成,对于当前的生成模型来说是一个具有挑战性的任务.
- 现有的方法通常支持离散扩展倍数和固定分辨率,限制灵活性.
研究的目的:
- 开发能够连续倍数和任意分辨率的图像外涂方法.
- 为了实现任何扩展倍数和分辨率的单步外漆.
- 消除对预先训练的骨干网络的依赖.
主要方法:
- 在训练期间,使用随机裁剪的视图和相对位置嵌入实现了任意多重外涂.
- 通过一项多规模的培训策略,可以实现持续解析外绘,该策略将解析和补丁数分开.
- 提出了一个基于查询的对比目标,以避免对预先训练的模型的依赖.
主要成果:
- 提出的方法成功地产生了带有连续扩展倍数的超绘图像.
- 可以在没有后处理的情况下实现任意分辨率.
- 实验结果表明,与公共基准的最先进方法相比,其性能优越.
结论:
- 开发的图像外涂技术在扩展倍数和分辨率方面提供了前所未有的灵活性.
- 单步方法简化了外漆过程.
- 这项工作推进了生成模型在图像处理和内容创建方面的功能.
相关概念视频
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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Deconvolution
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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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Downsampling
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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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Aliasing
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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
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Boundary Conditions: Lossless Lines
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Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
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Convolution Properties II
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The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
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