4、Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model 基于参考的超分辨率(RefSR)有潜力在遥感图像的空间和时间分辨率之间建立桥梁。然而,现有的 RefSR 方法受到内容重建的忠实度和大比例因子下纹理传输的有效性的限制。 条件...
在推理速度和内存使用方面,它比相关先前技术明显更好。 2、Diffusion-based Blind Text Image Super-Resolution 恢复退化的低分辨率文本图像是一项具有挑战性的任务,特别是在现实复杂情况下处理带有复杂笔画和严重退化的中文文本图像。保证文本的保真度和真实性风格对于高质量的文本图像超分辨率非常重要。最近,扩散模型在自然...
实测看, DiffBIR的保真度要比StableSR好一些,但是仍然有比较多的乱生成的现象。 3. PASD arxiv.org/abs/2308.1446github.com/yangxy/PASD PASD结构 PASD认为像素级别对齐的特征融合,对stable diffusion based 的超分模型至关重要。算法的主要模块如下 退化消除模块 采用轻量级复原模块,多尺度的像素级别监督来初步...
34、Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model 基于参考的超分辨率(RefSR)有潜力在遥感图像的空间和时间分辨率之间建立桥梁。然而,现有的 RefSR 方法受到内容重建的忠实度和大比例因子下纹理传输的有效性的限制。 条件...
To tackle this, we propose Hero-SR, a one-step diffusion-based SR framework explicitly designed with human perception priors. Hero-SR consists of two novel modules: the Dynamic Time-Step Module (DTSM), which adaptively selects optimal diffusion steps for flexibly meeting human perceptual ...
Solar cells based on organometal halide perovskites have recently become very promising among other materials because of their cost-effective character and improvements in efficiency. Such performance is primarily associated with effective light absorption and large diffusion length of charge carriers. Our ...
Improving Diffusion-Based Image Synthesis with Context Prediction SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Image Super-Resolution via Iterative Refinement High-Resolution Image Synthesis with Latent Diffusion Models Repaint: Inpainting using denoising diffusion probabilistic models....
& Zhou, M. Truncated diffusion probabilistic models and diffusion-based adversarial auto-encoders. Preprint at arXiv https://doi.org/10.48550/arXiv.2202.09671 (2022). Xie, P. et al. Vector quantized diffusion model with CodeUnet for text-to-sign pose sequences generation. Preprint at arXiv ...
The results are D(Sr) = 0.055 exp(42.7 × 10 3/ RT), D(Ba) = 0.038 exp(45.1 × 10 3/ RT) and D(Na) = 0.044 exp(22.9 × 103/ RT). The equation for D(Na) is based on data by SIPPEL (1963), CARRON (1968) and present results, all of which fit a single straight line...
A graph based framework for fMRI brain activation mapping is presented. The approach exploits the spectral graphwavelet transform (SGWT) for the purpose of... H Behjat,N Leonardi,L Srnmo,... - Elsevier 被引量: 0发表: 2015年 Colored noise and computational inference in neurophysiological (fMRI...