InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation

8 January 2021

Papers citing "InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation"

8 / 8 papers shown

Title
A Survey of Generative AI for Intelligent Transportation Systems Huan Yan Yong Li 23 8 0 13 Dec 2023
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs Moayed Haji-Ali Andrew Bond Tolga Birdal Duygu Ceylan Levent Karacan Erkut Erdem Aykut Erdem VGen DiffM 118 2 0 12 Apr 2023
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch F. Brémond A. Dantcheva 35 46 0 19 Aug 2022
Video2StyleGAN: Disentangling Local and Global Variations in a Video Rameen Abdal Peihao Zhu Niloy J. Mitra Peter Wonka VGen 30 7 0 27 May 2022
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2 Ivan Skorokhodov Sergey Tulyakov Mohamed Elhoseiny VGen 12 278 0 29 Dec 2021
Diverse Generation from a Single Video Made Possible Niv Haim Ben Feinstein Niv Granot Assaf Shocher Shai Bagon Tali Dekel Michal Irani DiffM VGen 39 18 0 17 Sep 2021
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition Di Yang Yaohui Wang A. Dantcheva Lorenzo Garattoni Gianpiero Francesca F. Brémond 19 47 0 19 Jul 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018