Results 221 to 230 of about 3,735,431 (289)

Rasterizing and antialiasing vector line art in the pixel art style

open access: yesInternational Symposium on Non-Photorealistic Animation and Rendering, 2013
Pixel artists rasterize vector shapes by hand to minimize artifacts at low resolutions and emphasize the aesthetics of visible pixels. We describe Superpixelator, an algorithm that automates this process by rasterizing vector line art at a low resolution
Tiffany Inglis, Daniel Vogel, C. Kaplan
semanticscholar   +2 more sources

InstantStyleGaussian: Efficient Art Style Transfer with 3D Gaussian Splatting

arXiv.org
We present InstantStyleGaussian, an innovative 3D style transfer method based on the 3D Gaussian Splatting (3DGS) scene representation. By inputting a target-style image, it quickly generates new 3D GS scenes.
Xinyi Yu   +4 more
semanticscholar   +1 more source

Neural Art Style Transfer

2026 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
The work advances the field of computational artistry by presenting a novel deep learning approach to neural style transfer-a technique first introduced by Gatys et al. [1]—which allows us to reimagine images in different artistic styles.
P. S, S. Uday, S. M
semanticscholar   +1 more source

Style in Art

2009
The work of two contemporary philosophers in particular, Nelson Goodman and Richard Wollheim, has done much to clarify our understanding of style and of the complex issues with which style becomes intertwined. This article looks through the lens of their proposals.
openaire   +1 more source

Style and Idiom in the Art of Uparamala

Muqarnas, 1992
statement of this relationship as a general precept can stand separate from the technicalities I might need as an archaeologist to analyze the group of monuments and sculptures as a whole from which the hypothesis has been derived.' I hope this precept can stand here as an appropriate offering to a scholar, guide, and friend whose work has contributed ...
openaire   +1 more source

Aesthetic art simulation for embroidery style

Multimedia Tools and Applications, 2018
Different image styles play a significant role in the human vision. Image rendering methods with non-photorealistic rendering based can simulate different illustrations and increase its aesthetic appeal. Despite many kinds of methods have been put forward to obtain various styles, technical subtleties and stylistic potential of the embroidery ...
Wenhua Qian   +4 more
openaire   +1 more source

K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs

Computer Vision and Pattern Recognition
Recent studies have explored the combination of different LoRAs to jointly generate learned style and content. However, existing methods either fail to effectively preserve both the original subject and style simultaneously or require additional training.
Zi-Juan Ouyang, Zhen Li, Qibin Hou
semanticscholar   +1 more source

ART AND RECOVERY STYLE FROM PSYCHOSIS

The Journal of Nervous and Mental Disease, 1977
The concepts of integration and sealing-over as recover styles from acute psychosis are common clinical parlance. Our experience with acute schizophrenic patients has led to specific operational definitions and a scale which can reliably assign patients to these two categories.
T H, McGlashan   +3 more
openaire   +2 more sources

RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style

International Conference on Learning Representations
Reward models are critical in techniques like Reinforcement Learning from Human Feedback (RLHF) and Inference Scaling Laws, where they guide language model alignment and select optimal responses. Despite their importance, existing reward model benchmarks
Yantao Liu   +5 more
semanticscholar   +1 more source

Finding Principal Semantics of Style in Art

2018 IEEE 12th International Conference on Semantic Computing (ICSC), 2018
We investigate a novel mechanism to interpret each coordinate of Deep Neural Network (DNN) activations with concepts aligned with art principles such as light, shape, pattern, line, and textures. After training state-of-the-art DNN architectures as paintings' style classifiers, we collect activations from the second to last layer of DNN and conduct a ...
Diana Kim   +3 more
openaire   +1 more source

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