26 citations · 33 across the 8 of their papers we have counts for
7 papers · 1 filter
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-realistic Style Transfer
Tianwei Lin, Honglin Lin, Fu Li +5
Photo-realistic style transfer aims at migrating the artistic style from an exemplar style image to a content image, producing a result image without spatial distortions or unreali…
RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection
Lin Zhang, Xin Li, Dongliang He +3
Reference-based image super-resolution (RefSR) is a promising SR branch and has shown great potential in overcoming the limitations of single image super-resolution. While previous…
It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training
Yuxin Song, Min Yang, Wenhao Wu +3
Self-supervised video transformer pre-training has recently benefited from the mask-and-predict pipeline. They have demonstrated outstanding effectiveness on downstream video tasks…
Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
Songhua Liu, Tianwei Lin, Dongliang He +5
Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks. While reinforcement lear…
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
Songhua Liu, Tianwei Lin, Dongliang He +6
Fast arbitrary neural style transfer has attracted widespread attention from academic, industrial and art communities due to its flexibility in enabling various applications. Exist…
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Min Yang, Dongliang He, Miao Fan +5
Image Retrieval is a fundamental task of obtaining images similar to the query one from a database. A common image retrieval practice is to firstly retrieve candidate images via si…