no code implementations • 22 Feb 2024 • Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava
With the emergence of text-to-video (T2V) diffusion models, its temporal counterpart, motion customization, has not yet been well investigated.
no code implementations • CVPR 2023 • Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
Implicit neural representations (INR) have gained increasing attention in representing 3D scenes and images, and have been recently applied to encode videos (e. g., NeRV, E-NeRV).
3 code implementations • NeurIPS 2021 • Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
In contrast, with NeRV, we can use any neural network compression method as a proxy for video compression, and achieve comparable performance to traditional frame-based video compression approaches (H. 264, HEVC \etc).
Ranked #6 on Video Reconstruction on UVG
no code implementations • CVPR 2021 • Moustafa Meshry, Yixuan Ren, Larry S Davis, Abhinav Shrivastava
Specifically, we pre-train a generic style encoder using a novel proxy task to learn an embedding of images, from arbitrary domains, into a low-dimensional style latent space.
no code implementations • 25 Sep 2019 • Moustafa Meshry, Yixuan Ren, Ricardo Martin-Brualla, Larry Davis, Abhinav Shrivastava
Then we train a generator to transform an input image along with a style-code to the output domain.