15 papers · ranked by Valyu relevance
Jianmin Han
With the rapid development of science and technology, human beings have gradually stepped into a brand-new digital era. Virtual reality technology has brought people an immersive experience. In order to enable users to get a better virtual reality experience, the pictures produced by virtual skillfully must be…
Laurent Belcour, B. Anis
Modern games rely increasingly on high-resolution textures (often 4096 × 4096 pixels) to store the appearance of assets. Since physically-based shading models require many parameters (albedo, normal map, roughness, metalness, etc) [HMB ∗ 20] for their evaluation, many textures have to be stored for a single asset. This…
Farzad Farhadzadeh, Qiqi Hou, Hoang Le, Amir Said + 3 more
'Randall Rauwendaal' 'Alex Bourd' 'Fatih Porikli'] Abstract. Advances in rendering have led to tremendous growth in texture assets, including resolution, complexity, and novel textures components, but this growth in data volume has not been matched by advances in its compression. Meanwhile Neural Image Compression…
K. Vaidyanathan, Marco Salvi, Bartlomiej Wronski, Tomas Akenine‐Möller + 2 more
In recent years, the visual quality of real-time rendering has been approaching the levels of VFX and film productions, giving rise to powerful new workflows, like virtual production , which are transforming filmmaking. These improvements in quality have been achieved through the adoption of methods used in cinematic…
Fengdi Zhang, Haocheng Ren, Qing Luo, Yaqing Li + 2 more
Spatially-varying BRDFs (SVBRDFs) are central to material representation in computer graphics, but their high-resolution, multi-channel, mipmapped textures impose a substantial storage burden. Existing compression methods face a fundamental trade-off: block-based compression provides random access and hardware-friendly…
Thibault Vervenne, Skyler R. St. Pierre, Nele Famaey, Ellen Kuhl
Fungi-based meat is emerging as a promising class of nutritious, sustainable, and minimally processed biomaterials with the potential to complement or replace traditional animal and plant-based meats. However, its mechanical and sensory properties remain largely unknown. Here we characterize the quasi-static and…
Reese A. Dunne, Ethan C. Darwin, Valerie A. Perez Medina, Marc E. Levenston + 2 more
Plant-based meat can help combat climate change and health risks associated with high meat consumption. To create adequate mimics of animal meats, plant-based meats must match in mouthfeel, taste, and texture. The gold standard to characterize the texture of meat is the double compression test, but this test suffers…
Sai Karthikey Pentapati, Anshul Rai, Arkady Ten, Chaitanya Atluru + 1 more
'Alan C. Bovik'] Abstract. High-resolution texture maps are necessary for representing real-world objects accurately with 3D meshes. The large sizes of textures can bottleneck the real-time rendering of high-quality virtual 3D scenes on devices having low computational budgets and limited memory. Downsampling the…
Mohammed Hlayel, Hairulnizam Mahdin, Mohammad Hayajneh, Saleh H. AlDaajeh + 3 more
'Saleh H. AlDaajeh' 'Siti Salwani Yaacob' 'Mazidah Mat Rejab' 'Shahid Rahman'] The rapid development of Digital Twin (DT) technology has underlined challenges in resource-constrained mobile devices, especially in the application of extended realities (XR), which includes Augmented Reality (AR) and Virtual Reality (VR).…
Chen-Hsiu Huang, Ja-Ling Wu, Jun Chen
End-to-end learned image compression codecs have notably emerged in recent years. These codecs have demonstrated superiority over conventional methods, showcasing remarkable flexibility and adaptability across diverse data domains while supporting new distortion losses. Despite challenges such as computational…
Luke Staniscia, Yun William Yu
Because of the rapid generation of data, the study of compression algorithms to reduce storage and transmission costs is important to bioinformaticians. Much of the focus has been on sequence data, including both genomes and protein amino acid sequences stored in FASTA files. Current standard practice is to use an…
Binmei Liu, Shiwan Zhou, Jing Sun, Xiaojuan Liu + 2 more
The rapid development of digital media demands higher quality in pattern design. Simultaneously, significant redundant information hinders the transmission and sharing of these patterns, creating an urgent need for image compression. However, traditional image compression methods struggle to balance efficiency and…
Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Anan Li + 7 more
Efficient storage and sharing of massive biomedical data would open up their wide accessibility to different institutions and disciplines. However, compressors tailored for natural photos/videos are rapidly limited for biomedical data, while emerging deep learning based methods demand huge training data and are…
Lovepreet Singh Brar, Sunil Agrawal, Jaget Singh, Ayush Dogra
Introduction: The fundamental problem with the transmission and storage of medical images is their inherent redundancy and large size necessitating higher bandwidth and a significant amount of storage space. Objectives: The main objective is to enhance the compression efficiency through accurate segmentation followed…
Jincheng Zhou, Dan Wang, Lei Ling, Mingjiang Li + 1 more
Traditional texture cluster algorithms are frequently used in engineering; however, despite their widespread application, these algorithms continue to suffer from drawbacks including excessive complexity and limited universality. This study will focus primarily on the analysis of the performance of a number of…