A comprehensive survey on segment anything model for vision and beyond
Artificial intelligence (AI) is evolving towards artificial general intelligence, which refers to the
ability of an AI system to perform a wide range of tasks and exhibit a level of intelligence …
ability of an AI system to perform a wide range of tasks and exhibit a level of intelligence …
Deep learning: the good, the bad, and the ugly
T Serre - Annual review of vision science, 2019 - annualreviews.org
Artificial vision has often been described as one of the key remaining challenges to be
solved before machines can act intelligently. Recent developments in a branch of machine …
solved before machines can act intelligently. Recent developments in a branch of machine …
Inversion-based style transfer with diffusion models
The artistic style within a painting is the means of expression, which includes not only the
painting material, colors, and brushstrokes, but also the high-level attributes, including …
painting material, colors, and brushstrokes, but also the high-level attributes, including …
Ziplora: Any subject in any style by effectively merging loras
Methods for finetuning generative models for concept-driven personalization generally
achieve strong results for subject-driven or style-driven generation. Recently, low-rank …
achieve strong results for subject-driven or style-driven generation. Recently, low-rank …
Stylegan-nada: Clip-guided domain adaptation of image generators
Can a generative model be trained to produce images from a specific domain, guided only
by a text prompt, without seeing any image? In other words: can an image generator be …
by a text prompt, without seeing any image? In other words: can an image generator be …
Arf: Artistic radiance fields
We present a method for transferring the artistic features of an arbitrary style image to a 3D
scene. Previous methods that perform 3D stylization on point clouds or meshes are sensitive …
scene. Previous methods that perform 3D stylization on point clouds or meshes are sensitive …
Adaattn: Revisit attention mechanism in arbitrary neural style transfer
Fast arbitrary neural style transfer has attracted widespread attention from academic,
industrial and art communities due to its flexibility in enabling various applications. Existing …
industrial and art communities due to its flexibility in enabling various applications. Existing …
Clipstyler: Image style transfer with a single text condition
Existing neural style transfer methods require reference style images to transfer texture
information of style images to content images. However, in many practical situations, users …
information of style images to content images. However, in many practical situations, users …
Stytr2: Image style transfer with transformers
The goal of image style transfer is to render an image with artistic features guided by a style
reference while maintaining the original content. Owing to the locality in convolutional neural …
reference while maintaining the original content. Owing to the locality in convolutional neural …
Artistic style transfer with internal-external learning and contrastive learning
Although existing artistic style transfer methods have achieved significant improvement with
deep neural networks, they still suffer from artifacts such as disharmonious colors and …
deep neural networks, they still suffer from artifacts such as disharmonious colors and …