233 citations · 557 across the 31 of their papers we have counts for
8 papers · 1 filter
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
Tan M. Dinh, Anh Tuan Tran, Rang Nguyen +1
Real-world image manipulation has achieved fantastic progress in recent years as a result of the exploration and utilization of GAN latent spaces. GAN inversion is the first step i…
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Trung Phung, Trung Le, Long Vuong +4
Domain adaptation (DA) benefits from the rigorous theoretical works that study its insightful characteristics and various aspects, e.g., learning domain-invariant representations a…
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui, Toan Tran, Anh Tuan Tran +1
Domain Generalization (DG) aims to train a model, from multiple observed source domains, in order to perform well on unseen target domains. To obtain the generalization capability,…
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
Long-Nhat Ho, Anh Tuan Tran, Quynh Phung +1
Recovering the 3D structure of an object from a single image is a challenging task due to its ill-posed nature. One approach is to utilize the plentiful photos of the same object c…
Progressive Semantic Segmentation
Chuong Huynh, Anh Tran, Khoa Luu +1
The objective of this work is to segment high-resolution images without overloading GPU memory usage or losing the fine details in the output segmentation map. The memory constrain…
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
Thao Nguyen, Anh Tran, Minh Hoai
Makeup transfer is the task of applying on a source face the makeup style from a reference image. Real-life makeups are diverse and wild, which cover not only color-changing but al…