Rv-gan: Recurrent gan for unconditional video generation
Generative models aiming to generate content from noise have achieved high-fidelity
synthesis for image data. However, obtaining comparable performance in the field of …
synthesis for image data. However, obtaining comparable performance in the field of …
3D-aware multi-class image-to-image translation with NeRFs
Recent advances in 3D-aware generative models (3D-aware GANs) combined with Neural
Radiance Fields (NeRF) have achieved impressive results. However no prior works …
Radiance Fields (NeRF) have achieved impressive results. However no prior works …
Learning temporally and semantically consistent unpaired video-to-video translation through pseudo-supervision from synthetic optical flow
Unpaired video-to-video translation aims to translate videos between a source and a target
domain without the need of paired training data, making it more feasible for real …
domain without the need of paired training data, making it more feasible for real …
Temporally consistent sequence-to-sequence translation of cataract surgeries
Purpose Image-to-image translation methods can address the lack of diversity in publicly
available cataract surgery data. However, applying image-to-image translation to videos …
available cataract surgery data. However, applying image-to-image translation to videos …
Translation-based Video-to-Video Synthesis
Translation-based Video Synthesis (TVS) has emerged as a vital research area in computer
vision, aiming to facilitate the transformation of videos between distinct domains while …
vision, aiming to facilitate the transformation of videos between distinct domains while …
Cross-modal alignment and translation for missing modality action recognition
Multimodal data provide complementary information on the same context, leading to
performance improvement in video action recognition. However, in reality, not all modalities …
performance improvement in video action recognition. However, in reality, not all modalities …
Temporally Consistent Unpaired Multi-domain Video Translation by Contrastive Learning
Unpaired multi-domain video-to-video translation is an attractive solution for diverse video
translation, which has to deal with not only unpaired data but also spatio-temporal …
translation, which has to deal with not only unpaired data but also spatio-temporal …
Addressing the Domain Shift in Computer Vision for Boiling Crisis Detection
F Al-Hindawi - 2024 - search.proquest.com
Boiling crisis detection, also known as critical heat flux (CHF), represents a formidable
challenge in thermal engineering and is of paramount importance to various industrial …
challenge in thermal engineering and is of paramount importance to various industrial …
System and method for learning temporally consistent video synthesis using fake optical flow
BACKGROUND [0002] There are existing methods that may estimate opti cal flow. Such
methods utilize expensive pre-trained datasets that require management and updating. In …
methods utilize expensive pre-trained datasets that require management and updating. In …