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 351400 of 1661 papers

TitleStatusHype
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language GenerationCode1
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion TransferCode1
MoST: Motion Style Transformer between Diverse Action ContentsCode1
Multimodal LLMs Can Reason about Aesthetics in Zero-ShotCode1
Divergences in Color Perception between Deep Neural Networks and HumansCode1
Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic DataCode1
Retriever: Learning Content-Style Representation as a Token-Level Bipartite GraphCode1
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process PriorsCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive LearningCode1
Guided neural style transfer for shape stylizationCode1
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-IdentificationCode1
Hierarchy Flow For High-Fidelity Image-to-Image TranslationCode1
Authorship Style Transfer with Policy OptimizationCode1
Deep Feature Consistent Variational AutoencoderCode1
MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style TransferCode1
How to Make an Image More Memorable? A Deep Style Transfer ApproachCode1
Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring TransformationCode1
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution HeterogeneityCode1
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style TransferCode1
HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via HypernetworksCode1
Self-Supervised Generative Style Transfer for One-Shot Medical Image SegmentationCode1
Self-Supervised Sketch-to-Image SynthesisCode1
Direct Ascent Synthesis: Revealing Hidden Generative Capabilities in Discriminative ModelsCode1
Deep Preset: Blending and Retouching Photos with Color Style TransferCode1
IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR imagesCode1
Deep Translation Prior: Test-time Training for Photorealistic Style TransferCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokensCode1
Image-based Virtual Fitting RoomCode1
Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-TranslationCode1
Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image GenerationsCode1
AesPA-Net: Aesthetic Pattern-Aware Style Transfer NetworksCode1
Deformable Style TransferCode1
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain AdaptationCode1
Style Transfer by Relaxed Optimal Transport and Self-SimilarityCode1
Deliberated Domain Bridging for Domain Adaptive Semantic SegmentationCode1
Improving Diffusion Models for Scene Text Editing with Dual EncodersCode1
Interactive Video Stylization Using Few-Shot Patch-Based TrainingCode1
Collaborative Distillation for Ultra-Resolution Universal Style TransferCode1
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space SteeringCode1
Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target ObjectCode1
Speaker embeddings by modeling channel-wise correlationsCode1
DiffStyler: Diffusion-based Localized Image Style TransferCode1
ImprovNet -- Generating Controllable Musical Improvisations with Iterative Corruption RefinementCode1
Deterministic Neural Illumination Mapping for Efficient Auto-White Balance CorrectionCode1
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object DetectionCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style TransferCode1
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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