Results 11 to 20 of about 1,483,995 (324)
Video Interpolation with Diffusion Models [PDF]
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)We present VIDIM, a generative model for video inter-polation, which creates short videos given a start and end frame. In order to achieve high fidelity and generate motions unseen in the input data, VIDIM uses cascaded diffusion models to first generate
Siddhant Jain +5 more
semanticscholar +3 more sources
Motion-blurred Video Interpolation and Extrapolation [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Abrupt motion of camera or objects in a scene result in a blurry video, and therefore recovering high quality video requires two types of enhancements: visual enhancement and temporal upsampling.
Dawit Mureja Argaw +3 more
semanticscholar +3 more sources
Context-aware Synthesis for Video Frame Interpolation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Video frame interpolation algorithms typically estimate optical flow or its variations and then use it to guide the synthesis of an intermediate frame between two consecutive original frames.
Liu, Feng, Niklaus, Simon
core +5 more sources
Variational approach for capsule video frame interpolation [PDF]
EURASIP Journal on Image and Video Processing, 2018 Capsule video endoscopy, which uses a wireless camera to visualize the digestive tract, is emerging as an alternative to traditional colonoscopy. Colonoscopy is considered as the gold standard for visualizing the colon and takes 30 frames per second ...
Ahmed Mohammed +4 more
doaj +5 more sources
Unsupervised Video Interpolation Using Cycle Consistency [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Learning to synthesize high frame rate videos via interpolation requires large quantities of high frame rate training videos, which, however, are scarce, especially at high resolutions.
F. Reda +8 more
semanticscholar +4 more sources
Hybrid Approach for Video Interpolation
International Journal of Computer Applications, 2022 R. GeethaRamani +3 more
semanticscholar +2 more sources
Blurry Video Frame Interpolation [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Existing works reduce motion blur and up-convert frame rate through two separate ways, including frame deblurring and frame interpolation. However, few studies have approached the joint video enhancement problem, namely synthesizing high-frame-rate clear results from low-frame-rate blurry inputs.
Shen, Wang +5 more
openaire +2 more sources
XVFI: eXtreme Video Frame Interpolation [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 In this paper, we firstly present a dataset (X4K1000FPS) of 4K videos of 1000 fps with the extreme motion to the research community for video frame interpolation (VFI), and propose an extreme VFI network, called XVFI-Net, that first handles the VFI for 4K videos with large motion.
Sim, Hyeonjun +2 more
openaire +2 more sources
Video Frame Interpolation Transformer
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Existing methods for video interpolation heavily rely on deep convolution neural networks, and thus suffer from their intrinsic limitations, such as content-agnostic kernel weights and restricted receptive field. To address these issues, we propose a Transformer-based video interpolation framework that allows content-aware aggregation weights and ...
Shi, Zhihao +4 more
openaire +2 more sources
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Given two consecutive frames, video interpolation aims at generating intermediate frame(s) to form both spatially and temporally coherent video sequences.
Huaizu Jiang +5 more
semanticscholar +1 more source