style transfer

Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond WACV 2023 Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training ACL 2023 Low-Resource Formality Controlled NMT Using Pre-trained LM ACL 2023 Masked and Adaptive Transformer for Exemplar Based Image Translation CVPR 2023 Mitigating Negative Style Transfer in Hybrid Dialogue System AAAI 2023 Modeling the Lighting in Scenes As Style for Auto White-Balance Correction WACV 2023 Neural Transformation Fields for Arbitrary-Styled Font Generation CVPR 2023 Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation NeurIPS 2023 Panoptic-Aware Image-to-Image Translation WACV 2023 Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer AAAI 2023 PromptStyle: Controllable Style Transfer for Text-to-Speech with Natural Language Descriptions Interspeech 2023 QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity CVPR 2023 Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation AAAI 2023 Robust Feature Decoupling in Voice Conversion by Using Locality-Based Instance Normalization Interspeech 2023 Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation AAAI 2023 RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis CVPR 2023 Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation ICCV 2023 SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation AAAI 2023 Simple Disentanglement of Style and Content in Visual Representations ICML 2023 SinDDM: A Single Image Denoising Diffusion Model ICML 2023 SLI-pSp: Injecting Multi-Scale Spatial Layout in pSp WACV 2023 Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style CVPR 2023 STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023 StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning CVPR 2023 StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models ICCV 2023