Search Results for author:
Found 8 papers, 3 papers with code
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation
Moreover, we introduce contrastive self-supervised learning to learn a robust style representation for fonts by understanding the similarity and dissimilarities of fonts.
Diff-Font: Diffusion Model for Robust One-Shot Font Generation
Specifically, a large stroke-wise dataset is constructed, and a stroke-wise diffusion model is proposed to preserve the structure and the completion of each generated character.
OCR-RTPS: An OCR-based real-time positioning system for the valet parking
Obtaining the position of ego-vehicle is a crucial prerequisite for automatic control and path planning in the field of autonomous driving.
Cross Attention Based Style Distribution for Controllable Person Image Synthesis
In this paper, we propose a cross attention based style distribution module that computes between the source semantic styles and target pose for pose transfer.
DG-Font: Deformable Generative Networks for Unsupervised Font Generation
Font generation is a challenging problem especially for some writing systems that consist of a large number of characters and has attracted a lot of attention in recent years.
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer
We propose adversarial gated networks (Gated GAN) to transfer multiple styles in a single model.
Attention-GAN for Object Transfiguration in Wild Images
This paper studies the object transfiguration problem in wild images.
S-OHEM: Stratified Online Hard Example Mining for Object Detection
S-OHEM exploits OHEM with stratified sampling, a widely-adopted sampling technique, to choose the training examples according to this influence during hard example mining, and thus enhance the performance of object detectors.
