Web11 de mar. de 2024 · To verify the contributions of the task-specific fine-tuning stage of TAPE-Net, we conduct an ablation study on the Deraindrop800, Rain200L, and TIP2024 datasets. In the last two rows of Table 5 , ‘W/o TS Fine-tuning’ means we remove the task-specific fine-tuning stage in the original pipeline and the outputs of the task-agnostic fine … http://home.ustc.edu.cn/~ll0825/project_TAPE.html
Multi-resolution Parallel Aggregation Network for Single Image Derainin…
Web29 de sept. de 2024 · Analysis of rain streak distributions in various region types. (a) Rain200H [38], (b) Rain200L [38], and (c) SPA-Data [33]. The x-axis represents the … WebAbstract. Learning an generalized prior for natural image restoration is an important yet challenging task. Early methods mostly involved handcrafted priors including normalized sparsity, ℓ0 gradients, dark channel priors, etc. Recently, deep neural networks have been used to learn various image priors but do not guarantee to generalize. ki residences sunset way
DSDNet: Toward single image deraining with self-paced
WebDRD-t et GT Input Figure 2: Visual comparisons with the state-of-the-art methods DRD-Net [1] and PReNet [9] on Rain200L [11]. (Best view on screen) Web5 de sept. de 2024 · with a constrained CycleGAN network, resulting in a dataset Rain200L with more types of rain-streak patterns and more realistic visual effects. Wang et al. [22] used a Bayesian model to construct a rain-image generation network to generate more than 120 rain-streak patterns. Further exploration of more reasonable and accurate rain-image ... WebDownload scientific diagram Image deraining results tested in the dataset of Rain200L. From (a)-(e): (a) the input rainy image, (b) the result X by only using the rain residual … lyrics hope xxtenations