A comprehensive survey on segment anything model for vision and beyond

C Zhang, L Liu, Y Cui, G Huang, W Lin, Y Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

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 …

Inversion-based style transfer with diffusion models

Y Zhang, N Huang, F Tang, H Huang… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Ziplora: Any subject in any style by effectively merging loras

V Shah, N Ruiz, F Cole, E Lu, S Lazebnik, Y Li… - … on Computer Vision, 2025 - Springer
Methods for finetuning generative models for concept-driven personalization generally
achieve strong results for subject-driven or style-driven generation. Recently, low-rank …

Stylegan-nada: Clip-guided domain adaptation of image generators

R Gal, O Patashnik, H Maron, AH Bermano… - ACM Transactions on …, 2022 - dl.acm.org
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 …

Arf: Artistic radiance fields

K Zhang, N Kolkin, S Bi, F Luan, Z Xu… - … on Computer Vision, 2022 - Springer
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 …

Adaattn: Revisit attention mechanism in arbitrary neural style transfer

S Liu, T Lin, D He, F Li, M Wang, X Li… - Proceedings of the …, 2021 - openaccess.thecvf.com
Fast arbitrary neural style transfer has attracted widespread attention from academic,
industrial and art communities due to its flexibility in enabling various applications. Existing …

Clipstyler: Image style transfer with a single text condition

G Kwon, JC Ye - Proceedings of the IEEE/CVF Conference …, 2022 - openaccess.thecvf.com
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 …

Stytr2: Image style transfer with transformers

Y Deng, F Tang, W Dong, C Ma… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

Artistic style transfer with internal-external learning and contrastive learning

H Chen, Z Wang, H Zhang, Z Zuo, A Li… - Advances in …, 2021 - proceedings.neurips.cc
Although existing artistic style transfer methods have achieved significant improvement with
deep neural networks, they still suffer from artifacts such as disharmonious colors and …