Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Tripathy, Soumya"'
Video deblurring aims at recovering sharp details from a sequence of blurry frames. Despite the proliferation of depth sensors in mobile phones and the potential of depth information to guide deblurring, depth-aware deblurring has received only limit
Externí odkaz:
http://arxiv.org/abs/2409.01274
Recent developments in face restoration have achieved remarkable results in producing high-quality and lifelike outputs. The stunning results however often fail to be faithful with respect to the identity of the person as the models lack necessary co
Externí odkaz:
http://arxiv.org/abs/2403.08436
In Self-Supervised Learning (SSL), Audio-Visual Correspondence (AVC) is a popular task to learn deep audio and video features from large unlabeled datasets. The key step in AVC is to randomly sample audio and video clips from the dataset and learn to
Externí odkaz:
http://arxiv.org/abs/2402.02899
In Self-Supervised Learning (SSL), various pretext tasks are designed for learning feature representations through contrastive loss. However, previous studies have shown that this loss is less tolerant to semantically similar samples due to the inher
Externí odkaz:
http://arxiv.org/abs/2211.05442
Autor:
Tripathy, Soumya Pratap
The novel coronavirus SARS-CoV-2 continues to pose a significant global health threat. Along with vaccines and targeted therapeutics, there is a critical need for rapid diagnostic solutions. In this work, we employ a deep learning-based protein desig
Image reenactment is a task where the target object in the source image imitates the motion represented in the driving image. One of the most common reenactment tasks is face image animation. The major challenge in the current face reenactment approa
Externí odkaz:
http://arxiv.org/abs/2104.03117
The face reenactment is a popular facial animation method where the person's identity is taken from the source image and the facial motion from the driving image. Recent works have demonstrated high quality results by combining the facial landmark ba
Externí odkaz:
http://arxiv.org/abs/2011.04439
Autor:
Gupta, Saurabh Kumar, Tripathy, Soumya Pratap, Bharti, Deepti, Pal, Sumit Kumar, Verma, Sarika, Pal, Kunal, Ray, Sirsendu Sekhar
Publikováno v:
In Ceramics International 1 July 2023 49(13):22537-22546
This paper presents a generic face animator that is able to control the pose and expressions of a given face image. The animation is driven by human interpretable control signals consisting of head pose angles and the Action Unit (AU) values. The con
Externí odkaz:
http://arxiv.org/abs/1904.01909
Image-to-image translation is a general name for a task where an image from one domain is converted to a corresponding image in another domain, given sufficient training data. Traditionally different approaches have been proposed depending on whether
Externí odkaz:
http://arxiv.org/abs/1805.03189