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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1100 of 1661 papers

TitleStatusHype
BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style TransferCode0
Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection—0
UNIST: Unpaired Neural Implicit Shape Translation Network—0
VAE based Text Style Transfer with Pivot Words Enhancement LearningCode0
3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image—0
Molecular Attributes Transfer from Non-Parallel Data—0
Image Style Transfer and Content-Style Disentanglement—0
A Novel Framework for Image-to-image Translation and Image Compression—0
One-shot Voice Conversion For Style Transfer Based On Speaker Adaptation—0
Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation—0
DAML-ST5: Low Resource Style Transfer via Domain Adaptive Meta Learning—0
Multilingual pre-training with Language and Task Adaptation for Multilingual Text Style Transfer—0
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models—0
Few-shot Controllable Style Transfer for Low-Resource Multilinugal Settings—0
Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning—0
Data privacy protection in microscopic image analysis for material data mining—0
Style Transfer with Target Feature Palette and Attention Coloring—0
Exploring Non-Autoregressive Text Style TransferCode0
Collaborative Learning of Bidirectional Decoders for Unsupervised Text Style TransferCode0
Rethinking Sentiment Style Transfer—0
Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness—0
From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey—0
Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing ExperienceCode0
Unified Style Transfer—0
Style Agnostic 3D Reconstruction via Adversarial Style Transfer—0
STALP: Style Transfer with Auxiliary Limited Pairing—0
Emotion Style Transfer with a Specified Intensity Using Deep Reinforcement Learning—0
Towards Using Clothes Style Transfer for Scenario-aware Person Video GenerationCode0
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings—0
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning—0
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
CCS-GAN: COVID-19 CT-scan classification with very few positive training images—0
A Review of Text Style Transfer using Deep Learning—0
Text Style Transfer with Confounders—0
Adversarial Style Transfer for Robust Policy Optimization in Reinforcement Learning—0
Decouple and Reconstruct: Mining Discriminative Features for Cross-domain Object Detection—0
DRAN: Detailed Region-Adaptive Normalization for Conditional Image SynthesisCode0
Decoupling Strategy and Surface Realization for Task-oriented Dialogues—0
Text Simplification for Comprehension-based Question-AnsweringCode0
Preventing Author Profiling through Zero-Shot Multilingual Back-TranslationCode0
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders—0
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
Show:102550
← PrevPage 22 of 34Next →
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