Results 11 to 20 of about 63,443 (285)
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
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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
Multi-Frame Pyramid Refinement Network for Video Frame Interpolation [PDF]
IEEE Access, 2019 Video frame interpolation aims at synthesizing new video frames in-between existing frames to generate higher frame rate video. Current methods usually use two adjacent frames to generate intermediate frames, but sometimes fail to handle challenges like ...
Haoxian Zhang, Ronggang Wang, Yang Zhao
doaj +2 more sources
Video Frame Interpolation via Adaptive Separable Convolution [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 Standard video frame interpolation methods first estimate optical flow between input frames and then synthesize an intermediate frame guided by motion. Recent approaches merge these two steps into a single convolution process by convolving input frames ...
Liu, Feng, Mai, Long, Niklaus, Simon
core +6 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
Time Lens: Event-based Video Frame Interpolation [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 State-of-the-art frame interpolation methods generate intermediate frames by inferring object motions in the image from consecutive key-frames. In the absence of additional information, first-order approximations, i.e. optical flow, must be used, but this choice restricts the types of motions that can be modeled, leading to errors in highly dynamic ...
Tulyakov, Stepan +6 more
openaire +3 more sources
Texture-aware Video Frame Interpolation [PDF]
2021 Picture Coding Symposium (PCS), 2021 Temporal interpolation has the potential to be a powerful tool for video compression. Existing methods for frame interpolation do not discriminate between video textures and generally invoke a single general model capable of interpolating a wide range of video content.
Danier, Duolikun, Bull, David
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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
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
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Revisiting Event-Based Video Frame Interpolation
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 Dynamic vision sensors or event cameras provide rich complementary information for video frame interpolation. Existing state-of-the-art methods follow the paradigm of combining both synthesis-based and warping networks. However, few of those methods fully respect the intrinsic characteristics of events streams.
Chen, Jiaben +9 more
openaire +2 more sources