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

Showing 12011225 of 1661 papers

TitleStatusHype
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars0
Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References0
Multi-view Arbitrary Style Transfer0
Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization0
Parameterization of Hypercomplex Multiplications0
Learning to Disentangle Textual Representations and Attributes via Mutual Information0
Diverse Image Style Transfer via Invertible Cross-Space Mapping0
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective0
Multi-type Disentanglement without Adversarial Training0
NAPA: Neural Art Human Pose AmplifierCode0
DeepObjStyle: Deep Object-based Photo Style Transfer0
DILIE: Deep Internal Learning for Image Enhancement0
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer LearningCode0
Restyling Images with the Bangladeshi Paintings Using Neural Style Transfer: A Comprehensive Experiment, Evaluation, and Human Perspective0
GenScan: A Generative Method for Populating Parametric 3D Scan Datasets0
CIT-GAN: Cyclic Image Translation Generative Adversarial Network With Application in Iris Presentation Attack Detection0
Isometric Multi-Shape Matching0
MakeupBag: Disentangling Makeup Extraction and Application0
Formality Style Transfer with Shared Latent SpaceCode0
Rich Syntactic and Semantic Information Helps Unsupervised Text Style Transfer0
An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation0
Unsupervised Aspect-Level Sentiment Controllable Style Transfer0
ShapeFlow: Learnable Deformation Flows Among 3D Shapes0
Lost in Back-Translation: Emotion Preservation in Neural Machine Translation0
Style versus Content: A distinction without a (learnable) difference?0
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Benchmark Results

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