10 citations · 15 across the 7 of their papers we have counts for
9 papers · 1 filter
DiffSTR: Controlled Diffusion Models for Scene Text Removal
Sanhita Pathak, Vinay Kaushik, Brejesh Lall
To prevent unauthorized use of text in images, Scene Text Removal (STR) has become a crucial task. It focuses on automatically removing text and replacing it with a natural, text-l…
GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon
Sanhita Pathak, Vinay Kaushik, Brejesh Lall
Virtual try-on, a rapidly evolving field in computer vision, is transforming e-commerce by improving customer experiences through precise garment warping and seamless integration o…
Single Stage Warped Cloth Learning and Semantic-Contextual Attention Feature Fusion for Virtual TryOn
Sanhita Pathak, Vinay Kaushik, Brejesh Lall
Image-based virtual try-on aims to fit an in-shop garment onto a clothed person image. Garment warping, which aligns the target garment with the corresponding body parts in the per…
MaskMTL: Attribute prediction in masked facial images with deep multitask learning
Prerana Mukherjee, Vinay Kaushik, Ronak Gupta +3
Predicting attributes in the landmark free facial images is itself a challenging task which gets further complicated when the face gets occluded due to the usage of masks. Smart ac…
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation
Vinay Kaushik, Kartik Jindgar, Brejesh Lall
Self-supervised learning of depth has been a highly studied topic of research as it alleviates the requirement of having ground truth annotations for predicting depth. Depth is lea…
Deep feature fusion for self-supervised monocular depth prediction
Vinay Kaushik, Brejesh Lall
Recent advances in end-to-end unsupervised learning has significantly improved the performance of monocular depth prediction and alleviated the requirement of ground truth depth. A…