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

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Showing 551–600 of 1661 papers

TitleStatusHype
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image—0
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer—0
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style TransfersCode1
A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications—0
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance FieldsCode1
Affective social anthropomorphic intelligent system—0
Any-to-Any Style Transfer: Making Picasso and Da Vinci CollaborateCode1
Improving Diffusion Models for Scene Text Editing with Dual EncodersCode1
ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfer—0
NeAT: Neural Artistic Tracing for Beautiful Style TransferCode1
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion—0
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer—0
FakET: Simulating Cryo-Electron Tomograms with Neural Style TransferCode1
Tunable Convolutions with Parametric Multi-Loss OptimizationCode1
Learning Dynamic Style Kernels for Artistic Style Transfer—0
CAP-VSTNet: Content Affinity Preserved Versatile Style TransferCode1
One-shot Unsupervised Domain Adaptation with Personalized Diffusion ModelsCode1
Semantic Image Translation for Repairing the Texture Defects of Building Models—0
Training-free Content Injection using h-space in Diffusion Models—0
Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization—0
Neural Preset for Color Style TransferCode2
StyleRF: Zero-shot 3D Style Transfer of Neural Radiance FieldsCode1
DialogPaint: A Dialog-based Image Editing Model—0
Style Transfer for 2D Talking Head AnimationCode1
NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style TransferCode1
SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral PerspectiveCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative ModelCode1
Generative Adversarial Network for Personalized Art Therapy in Melanoma Disease Management—0
Unsupervised Domain Adaptation for Cross-Regional Scenes Person Re-identification—0
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
3D Face Arbitrary Style Transfer—0
Improving Prosody for Cross-Speaker Style Transfer by Semi-Supervised Style Extractor and Hierarchical Modeling in Speech Synthesis—0
SEM-CS: Semantic CLIPStyler for Text-Based Image Style Transfer—0
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive LearningCode1
End-to-end Face-swapping via Adaptive Latent Representation Learning—0
Neural Style Transfer for Vector GraphicsCode0
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods—0
Cross-modal Face- and Voice-style Transfer—0
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation—0
Composer: Creative and Controllable Image Synthesis with Composable ConditionsCode3
Paint it Black: Generating paintings from text descriptions—0
A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems—0
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion ModelsCode4
Conversation Style Transfer using Few-Shot Learning—0
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
Single Motion DiffusionCode2
Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval—0
Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning—0
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All datasetsStyleBenchWikiArtGYAFC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1StyleShotCLIP Score0.66—Unverified
2StyleIDCLIP Score0.6—Unverified
3StrTR-2CLIP Score0.59—Unverified
4CASTCLIP Score0.58—Unverified
5AdaAttNCLIP Score0.57—Unverified
6InSTCLIP 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