2 citations · 5 across the 11 of their papers we have counts for
11 papers
Towards Unified Dynamic Face Landmark Detection
Sebastian Regalado, Varshanth R. Rao, Ruowei Jiang +2
Although advancements in face landmark detection (FLD) methods continue to push performance boundaries, they overlook two major functional limitations: (1) different network parame…
SEdit: Text-Guided Image Editing with Precise Semantic and Spatial Control
Xudong Liu, Zikun Chen, Ruowei Jiang +5
Recent advances in diffusion models have enabled high-quality generation and manipulation of images guided by texts, as well as concept learning from images. However, naive applica…
SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
Kejia Yin, Varshanth R. Rao, Ruowei Jiang +3
Self-supervised landmark estimation is a challenging task that demands the formation of locally distinct feature representations to identify sparse facial landmarks in the absence…
SC2GAN: Rethinking Entanglement by Self-correcting Correlated GAN Space
Zikun Chen, Han Zhao, Parham Aarabi +1
Generative Adversarial Networks (GANs) can synthesize realistic images, with the learned latent space shown to encode rich semantic information with various interpretable direction…
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
Cong Wei, Brendan Duke, Ruowei Jiang +3
Vision Transformers (ViT) have shown their competitive advantages performance-wise compared to convolutional neural networks (CNNs) though they often come with high computational c…
Exploring Gradient-based Multi-directional Controls in GANs
Zikun Chen, Ruowei Jiang, Brendan Duke +2
Generative Adversarial Networks (GANs) have been widely applied in modeling diverse image distributions. However, despite its impressive applications, the structure of the latent s…
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers
Robin Kips, Ruowei Jiang, Sileye Ba +4
Augmented reality applications have rapidly spread across online platforms, allowing consumers to virtually try-on a variety of products, such as makeup, hair dying, or shoes. Howe…
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation
Zeqi Li, Ruowei Jiang, Parham Aarabi
Generative adversarial networks (GANs) have shown significant potential in modeling high dimensional distributions of image data, especially on image-to-image translation tasks. Ho…
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
Robin Kips, Ruowei Jiang, Sileye Ba +5
While makeup virtual-try-on is now widespread, parametrizing a computer graphics rendering engine for synthesizing images of a given cosmetics product remains a challenging task. I…
Continuous Face Aging via Self-estimated Residual Age Embedding
Zeqi Li, Ruowei Jiang, Parham Aarabi
Face synthesis, including face aging, in particular, has been one of the major topics that witnessed a substantial improvement in image fidelity by using generative adversarial net…
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
Eu Wern Teh, Terrance DeVries, Brendan Duke +3
We consider the task of semi-supervised semantic segmentation, where we aim to produce pixel-wise semantic object masks given only a small number of human-labeled training examples…