Style Transfer
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Benchmarks
Most implemented
A Neural Algorithm of Artistic Style
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Instance Normalization: The Missing Ingredient for Fast Stylization
Deep Photo Style Transfer
Papers
EndoLive: Real-Time Style Transfer for Endoscopic Endonasal Skull Base Surgical Video
Complex surgical procedures around critical anatomy, such as the endoscopic endonasal skull base surgery, requires significant practice and training on the part of the surgeon before they are allowed to perform the opera…
Style TransferRefDiT: Local Attribute Guidance in Reference-Based Image Generation
Personalization models generate new images guided by a few subject references, while style transfer methods aim to produce images aligned with a global style derived from a reference image. Recent approaches perform well…
Image GenerationStyle TransferCan Activation Steering Capture Multidimensional Authorship Style?
Activation steering has shown promise for controlling LLM generation along well-defined attributes, but it remains unclear whether it can handle the multidimensional and hard-to-define nature of authorship style. We ask …
Style TransferOne Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing
Video editing spans diverse editing paradigms, yet achieving high-quality instruction-guided and subject-guided editing within a single unified framework remains challenging. We introduce EditVid, a training-free framewo…
Style TransferLoopy: Seamless Video Loop Generation via Anchored Looping Shift of Positional Embedding
Looping videos are essential for practical applications such as web graphics, game development, and social media. However, existing approaches typically fail to generate high-quality looping videos due to the neglect of …
Video GenerationStyle TransferSimple, Safe, and Overlooked: Reclaiming Sustainable Domain Generalization with Statistical Color Matching
Hardware shifts, color variations, and changing patient characteristics between development and deployment routinely break trained medical image classifiers. Existing remedies fall short: standard color jittering provide…
Domain GeneralizationData AugmentationStyle Transfer