Restoring high-quality images from degraded hazy observations is a fundamental and essential task in the field of computer vision. While deep models have achieved significant success with synthetic data, their effectiveness real-world scenarios remains uncertain. To improve adaptability environments, we construct an entirely new computational framework by making efforts three key aspects: imaging perspective, structural modules, training strategies. simulate often-overlooked multiple...

Abstract Virtual garment display plays an important role in fashion design for it can directly show the effect of without having to make a sample like traditional clothing industry. In this paper, we propose end‐to‐end virtual method based on Conditional Generative Adversarial Networks. Different from existing 3D methods which need complex interactions and domain‐specific user knowledge, our only users input desired sketch specified fabric image then whose shape texture are consistent with...

Obtaining a texture-smoothing and edge-preserving filtered output is significant to image decomposition. Although the edge texture have salient difference in human vision, automatically distinguishing them difficult task, for they similar intensity or gradient response. The state-of-the-art smoothing (EPS) based decomposition approaches are hard obtain satisfactory result. We propose novel suppression filter, exploiting joint bilateral filter as bridge achieve purpose of both properties...

Image colorization aims to produce a natural looking color image from given gray-scale image, which remains challenging problem. In this paper, we propose novel example-based method exploiting new locality consistent sparse representation. Given single reference our automatically colorizes the target by pursuit. For efficiency and robustness, operates at superpixel level. We extract low-level intensity features, mid-level texture high-level semantic features for each superpixel, are then...

Example-based color transfer is a critical operation in image editing but easily suffers from some corruptive artifacts the mapping process. In this paper, we propose novel unified framework with suppression, which performs iterative probabilistic self-learning filtering scheme and multiscale detail manipulation minimizing normalized Kullback-Leibler distance. First, an applied to construct relationship between reference target images. Then, into process prevent extract details. The...

Human parsing, which segments a human-centric image into pixel-wise categorization, has wide range of applications. However, none the existing methods can productively solve issue label parsing fragmentation due to confused and complicated annotations. In this paper, we propose novel Trusted Guidance Pyramid Network (TGPNet) address limitation. Based on pyramid architecture, design Residual Pooling (PRP) module setting at end bottom-up approach capture both global local level context....

In complex natural haze scenes, image removal still faces significant challenges in removing non-homogeneous and dense haze. The double complexity of distribution, on the one hand, is reflected interference to global information, other it imbalance brightness color caused by random distribution. scenes with prominent edge texture features, above problems may cause severe degradation quality performance various tasks. Numerous studies network learning show that effect closely related feature...

Convenient 4D modeling of human-object interactions is essential for numerous applications. However, monocular tracking and rendering complex interaction scenarios remain challenging. In this paper, we propose Instant-NVR, a neural approach instant volumetric using single RGBD camera. It bridges traditional non-rigid with recent radiance field techniques via multi-thread tracking-rendering mechanism. the front-end, adopt robust capture scheme to provide sufficient motion priors. We further...

To bridge the physical and virtual worlds for rapidly developed VR/AR applications, ability to realistically drive 3D full-body avatars is of great significance. Although real-time body tracking with only head-mounted displays (HMDs) hand controllers heavily under-constrained, a carefully designed end-to-end neural network potential solve problem by learning from large-scale motion data. this end, we propose two-stage framework that can obtain accurate smooth motions three signals head hands...

Egocentric human pose estimation (HPE) using wearable sensors is essential for VR/AR applications. Most methods rely solely on either egocentric-view images or sparse Inertial Measurement Unit (IMU) signals, leading to inaccuracies due self-occlusion in the sparseness and drift of inertial sensors. importantly, lack real-world datasets containing both modalities a major obstacle progress this field. To overcome barrier, we propose EMHI, multimodal Motion dataset with Head-Mounted Display...

Metal‐organic frameworks (MOFs) provide an expansive and tunable platform for heterogeneous catalysis, yet distinguishing between catalytic reactions occurring within their pores those on external surfaces remains a challenge. This study employs interpretable machine learning to elucidate structure‐activity relationships in MOF‐supported nickel (Ni) catalysts selective sp3 sp2 C–H borylation. By analyzing over 470,000 MOF structures, we developed set of 45 concise chemically meaningful...

Metal‐organic frameworks (MOFs) provide an expansive and tunable platform for heterogeneous catalysis, yet distinguishing between catalytic reactions occurring within their pores those on external surfaces remains a challenge. This study employs interpretable machine learning to elucidate structure‐activity relationships in MOF‐supported nickel (Ni) catalysts selective sp3 sp2 C–H borylation. By analyzing over 470,000 MOF structures, we developed set of 45 concise chemically meaningful...

Virtual try-on system could demonstrate the visual effect of wearing certain clothes, which is in a great demand for online clothing customers. Due to neglect original person structure, previous schemes usually encounter with problems like loss body parts, missing details and deviation style. In this paper, we propose novel image-based virtual network, maintain structural consistency between generated image by human parsing. Our network consists three components. Given images, target parsing...

The objective of this study was to evaluate the discriminative capabilities radiomics signatures derived from three distinct machine learning algorithms and identify a robust signature capable predicting pathological complete response (pCR) after neoadjuvant chemoradiotherapy in patients diagnosed with locally advanced rectal cancer (LARC). In retrospective study, 211 LARC were consecutively enrolled divided into training cohort (n = 148) validation 63). From pretreatment contrast-enhanced...

Abstract This paper presents a new two‐step color transfer method which includes mapping and detail preservation. To map source colors to target colors, are from an image or palette, the proposed similarity‐preserving algorithm uses similarities between pixel dominant as existing algorithms emphasizes colors. Detail preservation is performed by ℒ0 gradient‐preserving algorithm. It relaxes large gradients of sparse pixels along region boundaries preserves small within regions. The similarity...

In the field of clothing recommendation, building a successful recommendation system means giving each user an optimal personalized recommending list. The top ranked in list are expected to meet series user's needs such as preference, taste, style, and consumption level. online shopping, most common way is use explicit rating items. However, implicit feedback browsing log, collection, reviews may contains extra information help model preference more accurately. addition, recommended should...

Radio link budget is a determinant factor for the coverage estimation of wireless communication systems. Various studies have been made to model radio passive Ultra-High Frequency (UHF) IDentification (RFID) systems, which operate in dyadic channels. These generally either ignore or make simple assumptions on backscattered-transmission loss due circuit an RFID tag. However, we observed that could vary nonlinearly with incident power tag impedance characteristics microchips. Such nonlinear...