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 51100 of 1661 papers

TitleStatusHype
Inversion-Based Style Transfer with Diffusion ModelsCode2
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?Code2
Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback LearningCode2
TCSinger 2: Customizable Multilingual Zero-shot Singing Voice SynthesisCode2
DiffArtist: Towards Structure and Appearance Controllable Image StylizationCode2
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and ManipulationCode2
Methods for Detoxification of Texts for the Russian LanguageCode2
Gaussian Grouping: Segment and Edit Anything in 3D ScenesCode2
FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive LearningCode2
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-SpeechCode2
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice ConversionCode2
DCT-Net: Domain-Calibrated Translation for Portrait StylizationCode2
Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker AdaptationCode2
Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion ModelCode2
Diffusion-based Image Translation using Disentangled Style and Content RepresentationCode2
Deep Learning for Text Style Transfer: A SurveyCode2
Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality TransferCode2
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization EasierCode2
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion ModelsCode2
GANimator: Neural Motion Synthesis from a Single SequenceCode2
Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio GenerationCode2
Misalignment-Robust Frequency Distribution Loss for Image TransformationCode2
Unsupervised Speech Decomposition via Triple Information BottleneckCode2
DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence ModelsCode1
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT TranslationCode1
Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian PriorCode1
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion MethodsCode1
Decoupling Global and Local Representations via Invertible Generative FlowsCode1
Adversarial Style Mining for One-Shot Unsupervised Domain AdaptationCode1
CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal DiffusionCode1
Crossing You in Style: Cross-modal Style Transfer from Music to Visual ArtsCode1
Controlling strokes in fast neural style transfer using content transformsCode1
Controlling Geometric Abstraction and Texture for Artistic ImagesCode1
Creative Birds: Self-Supervised Single-View 3D Style TransferCode1
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style TransferCode1
Facial-Sketch Synthesis: A New ChallengeCode1
Advances in 3D Neural Stylization: A SurveyCode1
Controllable Style Transfer via Test-time Training of Implicit Neural RepresentationCode1
Content-based Controls For Music Large Language ModelingCode1
Any-to-Any Style Transfer: Making Picasso and Da Vinci CollaborateCode1
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
Controlled Text Generation as Continuous Optimization with Multiple ConstraintsCode1
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style TransferCode1
MosAIc: Finding Artistic Connections across Culture with Conditional Image RetrievalCode1
Consistent Style TransferCode1
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object DetectionCode1
APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media ConversationsCode1
Style Transfer by Relaxed Optimal Transport and Self-SimilarityCode1
3DSNet: Unsupervised Shape-to-Shape 3D Style TransferCode1
A Neural Algorithm of Artistic StyleCode1
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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