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 901–950 of 1661 papers

TitleStatusHype
Multiple Style Transfer via Variational AutoEncoderCode1
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning—0
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT TranslationCode1
Music Sentiment TransferCode0
It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation DataCode0
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization—0
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style TransferCode0
SDA-GAN: Unsupervised Image Translation Using Spectral Domain Attention-Guided Generative Adversarial Network—0
Voice Aging with Audio-Visual Style Transfer—0
Self-Supervised Generative Style Transfer for One-Shot Medical Image SegmentationCode1
CCS-GAN: COVID-19 CT-scan classification with very few positive training images—0
A Review of Text Style Transfer using Deep Learning—0
Decouple and Reconstruct: Mining Discriminative Features for Cross-domain Object Detection—0
Decoupling Strategy and Surface Realization for Task-oriented Dialogues—0
Adversarial Style Transfer for Robust Policy Optimization in Reinforcement Learning—0
Text Style Transfer with Confounders—0
DRAN: Detailed Region-Adaptive Normalization for Conditional Image SynthesisCode0
Text Simplification for Comprehension-based Question-AnsweringCode0
Layered Neural Atlases for Consistent Video EditingCode1
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-IdentificationCode1
Preventing Author Profiling through Zero-Shot Multilingual Back-TranslationCode0
Text Detoxification using Large Pre-trained Neural ModelsCode1
Transductive Learning for Unsupervised Text Style TransferCode1
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders—0
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language GenerationCode1
Stylistic Retrieval-based Dialogue System with Unparallel Training Data—0
Scalable Font Reconstruction with Dual Latent Manifolds—0
Style Pooling: Automatic Text Style Obfuscation for Improved Classification FairnessCode0
Generic resources are what you need: Style transfer tasks without task-specific parallel training dataCode0
Referee: Towards reference-free cross-speaker style transfer with low-quality data for expressive speech synthesis—0
A Recipe For Arbitrary Text Style Transfer with Large Language Models—0
STRIVE: Scene Text Replacement In Videos—0
Style Transfer based Coronary Artery Segmentation in X-ray Angiogram—0
3D Human Shape Style Transfer—0
Sequence-to-Sequence Learning with Latent Neural GrammarsCode1
Domain-Robust Mitotic Figure Detection with Style Transfer—0
Unsupervised Text Style Transfer with Content Embeddings—0
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology imagesCode0
Sentence Bottleneck Autoencoders from Transformer Language ModelsCode1
Font Completion and Manipulation by Cycling Between Multi-Modality RepresentationsCode0
3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations—0
Non-Parametric Neural Style Transfer—0
Matching Underwater Sonar Images by the Learned Descriptor Based on Style Transfer Method—0
AccoMontage: Accompaniment Arrangement via Phrase Selection and Style TransferCode1
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures—0
Towards Controllable and Photorealistic Region-wise Image Manipulation—0
Tailor: Generating and Perturbing Text with Semantic Controls—0
Contextualizing Variation in Text Style Transfer Datasets—0
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer—0
UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation—0
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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