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 151200 of 1661 papers

TitleStatusHype
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion ModelsCode1
Precise and Generalized Robustness Certification for Neural NetworksCode1
Fine-grained Text Style Transfer with Diffusion-Based Language ModelsCode1
SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-driven Video EditingCode1
SAMScore: A Content Structural Similarity Metric for Image Translation EvaluationCode1
Brain Captioning: Decoding human brain activity into images and textCode1
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style TransferCode1
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style TransfersCode1
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance FieldsCode1
Any-to-Any Style Transfer: Making Picasso and Da Vinci CollaborateCode1
Improving Diffusion Models for Scene Text Editing with Dual EncodersCode1
NeAT: Neural Artistic Tracing for Beautiful Style TransferCode1
FakET: Simulating Cryo-Electron Tomograms with Neural Style TransferCode1
Tunable Convolutions with Parametric Multi-Loss OptimizationCode1
One-shot Unsupervised Domain Adaptation with Personalized Diffusion ModelsCode1
CAP-VSTNet: Content Affinity Preserved Versatile Style TransferCode1
StyleRF: Zero-shot 3D Style Transfer of Neural Radiance FieldsCode1
Style Transfer for 2D Talking Head AnimationCode1
NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style TransferCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral PerspectiveCode1
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative ModelCode1
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class LabelsCode1
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style TransferCode1
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive LearningCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Prompt-Based Editing for Text Style TransferCode1
Interactive Control over Temporal Consistency while Stylizing Video StreamsCode1
PODA: Prompt-driven Zero-shot Domain AdaptationCode1
QuantArt: Quantizing Image Style Transfer Towards High Visual FidelityCode1
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic ModelsCode1
All-to-key Attention for Arbitrary Style TransferCode1
PØDA: Prompt-driven Zero-shot Domain AdaptationCode1
Causal Inference via Style Transfer for Out-of-distribution GeneralisationCode1
Improving Iterative Text Revision by Learning Where to Edit from Other Revision TasksCode1
SinDDM: A Single Image Denoising Diffusion ModelCode1
MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style TransferCode1
Font Representation Learning via Paired-glyph MatchingCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in DrawingsCode1
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk DecodingCode1
DeepDC: Deep Distance Correlation as a Perceptual Image Quality EvaluatorCode1
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion ForecastingCode1
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio EffectsCode1
MagicMix: Semantic Mixing with Diffusion ModelsCode1
S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window AttentionCode1
TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting DecompositionCode1
ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and PrintsCode1
Style Transfer as Data Augmentation: A Case Study on Named Entity RecognitionCode1
Show:102550
← PrevPage 4 of 34Next →

Benchmark Results

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