SOTAVerified

Style Transfer

Style Transfer is a technique in computer vision and graphics that involves generating a new image by combining the content of one image with the style of another image. The goal of style transfer is to create an image that preserves the content of the original image while applying the visual style of another image.

( Image credit: A Neural Algorithm of Artistic Style )

  1. "T" as a sofa:

The "T" horizontal strip can mimic the back of a sofa with a delicate cushion or details of the uphols or appliances with the color button.

The "T" vertical strip can show a feet or arm of the sofa, shiny, yet firm.

  1. Merge "P":

Put "P" next to "T", your curve to delicately with the top "T." It is intertwined. The circular part of "P" can show a cushion or a curved chair and synchronize the subject of furniture.

Make sure "P" is visually relying on "T", which reflects the relationship of cohesion and balance.

  1. Coherence of "B" and "I":

"B" can be aligned as a pair of cushions or a modern chair, with mild curves with glossy and modern aesthetics.

"I" can be a symbol of a shiny furniture or a vertical light bar and completes the shapes without overburdess them.

Color palette 4:

Includes soft soil colors such as beige, top and gray shades, along with silent or silver gold tips to touch elegance.

Consider a slope effect to enhance modernity, to keep colors elegant and complex.

  1. Connect the letters:

Use the overlap or intertwined edges that the letters meet for the symbol of unity.

The plan should allow viewers to distinguish each letter while feeling part of the same "structure".

  1. Background patterns:

Use delicate geometric patterns or textures that mimic fabrics or furniture materials such as wood seeds or woven fibers.

These patterns must remain minimalist and focus on highlighting the logo, while maintaining communication.

While it deals with the subject of furniture and design, this concept conveys modernity, creativity and professional. If you like, I can create a draft design for better visualization.

Papers

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Showing 1451–1500 of 1661 papers

TitleStatusHype
TE141K: Artistic Text Benchmark for Text Effect Transfer—0
Transferring Multiscale Map Styles Using Generative Adversarial Networks—0
SoilingNet: Soiling Detection on Automotive Surround-View Cameras—0
Controllable Artistic Text Style Transfer via Shape-Matching GANCode0
Neural TTS Stylization with Adversarial and Collaborative Games—0
Total Style Transfer with a Single Feed-Forward Network—0
Multiple-Attribute Text Rewriting—0
High-Resolution Network for Photorealistic Style TransferCode0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks—0
Switchable Whitening for Deep Representation LearningCode0
Real-Time Style Transfer With Strength ControlCode0
Multimodal Style Transfer via Graph CutsCode0
Learning Implicit Generative Models by Matching Perceptual Features—0
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style TransferCode0
Evaluating Style Transfer for TextCode0
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth EstimationCode0
Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation—0
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree SearchCode0
SRM : A Style-based Recalibration Module for Convolutional Neural NetworksCode0
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus—0
Photorealistic Style Transfer via Wavelet TransformsCode0
Mask-guided Style Transfer Network for Purifying Real Images—0
Formality Style Transfer with Hybrid Textual Annotations—0
Purifying Naturalistic Images through a Real-time Style Transfer Semantics Network—0
Neural Style Transfer for Point Clouds—0
StyleRemix: An Interpretable Representation for Neural Image Style Transfer—0
EAT: a simple and versatile semantic representation format for multi-purpose NLP—0
Artist Style Transfer Via Quadratic PotentialCode0
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images—0
Data-to-Text Generation with Style ImitationCode0
Unsupervised Image-to-Image Translation with Self-Attention NetworksCode0
Attention-aware Multi-stroke Style TransferCode0
Automated Deep Photo Style TransferCode0
Ancient Painting to Natural Image: A New Solution for Painting ProcessingCode0
Artistic Object Recognition by Unsupervised Style Adaptation—0
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual EffectsCode0
Autoencoder Based Architecture For Fast & Real Time Audio Style Transfer—0
TET-GAN: Text Effects Transfer via Stylization and Destylization—0
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer—0
Learning latent representations for style control and transfer in end-to-end speech synthesisCode0
Self-Contained Stylization via Steganography for Reverse and Serial Style TransferCode0
Style Transfer and Extraction for the Handwritten Letters Using Deep Learning—0
Comixify: Transform video into a comicsCode0
Counterfactuals uncover the modular structure of deep generative models—0
Neural Abstract Style Transfer for Chinese Traditional PaintingCode0
Arbitrary Style Transfer with Style-Attentional NetworksCode0
Enhancing Perceptual Attributes with Bayesian Style GenerationCode0
Unsupervised Domain Adaptation using Generative Models and Self-ensembling—0
Style Decomposition for Improved Neural Style Transfer—0
Isospectralization, or how to hear shape, style, and correspondenceCode0
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All datasetsStyleBenchWikiArtGYAFC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1StyleShotCLIP Score0.66—Unverified
2StyleIDCLIP Score0.6—Unverified
3StrTR-2CLIP Score0.59—Unverified
4CASTCLIP Score0.58—Unverified
5InSTCLIP Score0.57—Unverified
6AdaAttNCLIP Score0.57—Unverified
7EFDMCLIP Score0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Mamba-STArtFID27.11—Unverified
2StyleFlow-Content-Fixed-I2ISSIM0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)Accuracy94.37—Unverified