Results 21 to 30 of about 8,378,989 (251)
High-Resolution Image Synthesis with Latent Diffusion Models [PDF]
By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulation allows for a guiding mechanism
Robin Rombach +4 more
semanticscholar +1 more source
The objective of this study is to examine a machine learning (ML) framework for calibrating the parameters of analytical models of complex nonlinear structural systems where experimental data is significantly limited.
Angela Lanning +2 more
doaj +1 more source
Image-based BRDF Representation [PDF]
Abstract To acquire a certain level of photorealism in computer graphics, it is necessary to analyze, how the materials scatter the incident light. In this work, we propose the method to direct rendering of isotropic bidirectional reflectance function (BRDF) from the small set of images. The image-based rendering is focused to synthesize
Mihálik, A., Ďurikovič, R.
openaire +2 more sources
Quantum Steganography Using Two Hidden Thresholds
This paper describes a novel steganography algorithm that combines quantum computing with the least significant bit technique (LSB). Using the quantum properties, along with the Python programming language and the Qiskit framework for the circuit ...
TUDORACHE, A.-G. +2 more
doaj +1 more source
Hierarchical Text-Conditional Image Generation with CLIP Latents [PDF]
Contrastive models like CLIP have been shown to learn robust representations of images that capture both semantics and style. To leverage these representations for image generation, we propose a two-stage model: a prior that generates a CLIP image ...
A. Ramesh +4 more
semanticscholar +1 more source
Image Retargeting via Beltrami Representation [PDF]
13pages, 13 ...
Chun Pong Lau +2 more
openaire +3 more sources
Robust Ensemble Manifold Projective Non-Negative Matrix Factorization for Image Representation
Projective non-negative matrix factorization (PNMF) as a variant of NMF has received considerable attention. However, the existing PNMF methods can be further improved from two aspects.
Peng Luo +7 more
doaj +1 more source
Sparse representation of astronomical images [PDF]
Sparse representation of astronomical images is discussed. It is shown that a significant gain in sparsity is achieved when particular mixed dictionaries are used for approximating these types of images with greedy selection strategies. Experiments are conducted to confirm: i)Effectiveness at producing sparse representations.
Rebollo-Neira, Laura, Bowley, James
openaire +3 more sources
FNRegion: A fast NAM‐based region extraction algorithm
Region extraction is usually used by many computer vision tasks as a pre‐processing step to extract image features. However, how to efficiently extract effective regions remains a challenging problem.
Yunping Zheng, Bowen Yang, Mudar Sarem
doaj +1 more source
Representing Blurred Image without Deblurring
The effective recognition of patterns from blurred images presents a fundamental difficulty for many practical vision tasks. In the era of deep learning, the main ideas to cope with this difficulty are data augmentation and deblurring.
Shuren Qi +3 more
doaj +1 more source

