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Image Stylization

Image stylization is a task that involves transforming an input image into a new image that has a different style, while preserving the content of the original image. The goal of image stylization is to create visually appealing images with a specific style or aesthetic, such as impressionism, cubism, or surrealism. It can also be used to make images more visually appealing for specific applications, such as social media or advertising.

Papers

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Showing 21–30 of 64 papers

TitleStatusHype
Instant Photorealistic Neural Radiance Fields StylizationCode0
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory RetrievalCode1
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
Interactive Control over Temporal Consistency while Stylizing Video StreamsCode1
StyleTRF: Stylizing Tensorial Radiance Fields—0
EDICT: Exact Diffusion Inversion via Coupled TransformationsCode2
Touch and Go: Learning from Human-Collected Vision and Touch—0
LISA: Localized Image Stylization with Audio via Implicit Neural Representation—0
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
MultiStyleGAN: Multiple One-shot Image Stylizations using a Single GAN—0
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