Results 291 to 300 of about 1,483,995 (324)

Full-Reference and No-Reference Quality Assessment for Video Frame Interpolation

IEEE transactions on circuits and systems for video technology (Print)
Video frame interpolation (VFI) synthesizes new frames from original video frames to produce high frame-rate videos and enhance their visual appeal.
Jinliang Han, Xiongkuo Min, Jun Jia, Yixuan Gao, Xiaohong Liu, Guangtao Zhai   +5 more
semanticscholar   +1 more source

Phase-based frame interpolation for video

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Standard approaches to computing interpolated (in-between) frames in a video sequence require accurate pixel correspondences between images e.g. using optical flow. We present an efficient alternative by leveraging recent developments in phase-based methods that represent motion in the phase shift of individual pixels.
Simone Meyer, Oliver Wang, Henning Zimmer, Max Grosse, Alexander Sorkine-Hornung   +4 more
openaire   +1 more source

VFIMamba: Video Frame Interpolation with State Space Models

Neural Information Processing Systems
Inter-frame modeling is pivotal in generating intermediate frames for video frame interpolation (VFI). Current approaches predominantly rely on convolution or attention-based models, which often either lack sufficient receptive fields or entail ...
Guozhen Zhang, Chunxu Liu, Yutao Cui, Xiaotong Zhao, Kai Ma, Limin Wang   +5 more
semanticscholar   +1 more source

Video Generation and Synthesis Network for Long-term Video Interpolation

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
In this paper, we propose a bidirectional synthesis video interpolation technique based on deep learning, using a forward and a backward video generation network and a synthesis network. The forward generation network first extrapolates a video sequence,
Na-young Kim, Jung Kyung Lee, C. Yoo, Seunghyun Cho, Jewon Kang   +4 more
semanticscholar   +1 more source

Disentangled Motion Modeling for Video Frame Interpolation

AAAI Conference on Artificial Intelligence
Video Frame Interpolation (VFI) aims to synthesize intermediate frames between existing frames to enhance visual smoothness and quality. Beyond the conventional methods based on the reconstruction loss, recent works have employed generative models for ...
Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon   +4 more
semanticscholar   +1 more source

MFNet:Real-Time Motion Focus Network for Video Frame Interpolation

IEEE transactions on multimedia
As a popular research topic in computer vision, video frame interpolation is widely used in video processing tasks. However, this task is often limited by slow processing speed or high memory consumption in practical applications.
Guosong Zhu, Zhen Qin, Yi Ding, Yao Liu, Zhiguang Qin   +4 more
semanticscholar   +1 more source

Video deinterlacing with control grid interpolation

2012 19th IEEE International Conference on Image Processing, 2012
Video deinterlacing is a key technique in digital video processing, particularly with the widespread usage of LCD and plasma TVs. This paper proposes a novel spatio-temporal video deinterlacing technique that adaptively chooses between results from segment adaptive gradient angle interpolation (SAGA), vertical temporal filter (VTF) and temporal line ...
Ragav Venkatesan, Christine M. Zwart, David H. Frakes   +2 more
openaire   +1 more source

Generalizable Implicit Motion Modeling for Video Frame Interpolation

Neural Information Processing Systems
Motion modeling is critical in flow-based Video Frame Interpolation (VFI). Existing paradigms either consider linear combinations of bidirectional flows or directly predict bilateral flows for given timestamps without exploring favorable motion priors ...
Zujin Guo, Wei Li, Chen Change Loy
semanticscholar   +1 more source

Video Object Segmentation-aware Video Frame Interpolation

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Jun-Sang Yoo, Hongjae Lee, Seung-Won Jung   +2 more
openaire   +1 more source

EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation

arXiv.org
Following the advancements in text-guided image generation technology exemplified by Stable Diffusion, video generation is gaining increased attention in the academic community.
Cong Wang, Jiaxi Gu, Panwen Hu, Haoyu Zhao, Yuanfan Guo, Jianhua Han, Hang Xu, Xiaodan Liang   +7 more
semanticscholar   +1 more source