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High-frequency displays are gaining immense popularity because of their increasing use in video games and virtual reality applications. However, the issue is that the underlying GPUs cannot continuously generate frames at this high rate --…

Graphics · Computer Science 2023-07-25 Akanksha Dixit , Yashashwee Chakrabarty , Smruti R. Sarangi

High-refresh rate displays have become very popular in recent years due to the need for superior visual quality in gaming, professional displays and specialized applications like medical imaging. However, high-refresh rate displays alone do…

Computer Vision and Pattern Recognition · Computer Science 2024-07-26 Akanksha Dixit , Smruti R. Sarangi

Frame interpolation attempts to synthesise frames given one or more consecutive video frames. In recent years, deep learning approaches, and notably convolutional neural networks, have succeeded at tackling low- and high-level computer…

Computer Vision and Pattern Recognition · Computer Science 2019-02-27 Joost van Amersfoort , Wenzhe Shi , Alejandro Acosta , Francisco Massa , Johannes Totz , Zehan Wang , Jose Caballero

Frame interpolation is an essential video processing technique that adjusts the temporal resolution of an image sequence. While deep learning has brought great improvements to the area of video frame interpolation, techniques that make use…

Computer Vision and Pattern Recognition · Computer Science 2022-10-27 Simon Niklaus , Ping Hu , Jiawen Chen

Graphics rendering applications increasingly leverage neural networks in tasks such as denoising, supersampling, and frame extrapolation to improve image quality while maintaining frame rates. The temporal coherence inherent in these tasks…

Graphics · Computer Science 2025-06-18 Lufei Liu , Tor M. Aamodt

Most deep learning methods for video frame interpolation consist of three main components: feature extraction, motion estimation, and image synthesis. Existing approaches are mainly distinguishable in terms of how these modules are…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Moritz Nottebaum , Stefan Roth , Simone Schaub-Meyer

Scaling generative inverse and forward rendering to real-world scenarios is bottlenecked by the limited realism and temporal coherence of existing synthetic datasets. To bridge this persistent domain gap, we introduce a large-scale, dynamic…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Zheng-Hui Huang , Zhixiang Wang , Jiaming Tan , Ruihan Yu , Yidan Zhang , Bo Zheng , Yu-Lun Liu , Yung-Yu Chuang , Kaipeng Zhang

Neural rendering for interactive applications requires translating geometric and material properties (G-buffer) to photorealistic images with realistic lighting on a frame-by-frame basis. While recent diffusion-based approaches show promise…

Computer Vision and Pattern Recognition · Computer Science 2025-12-19 Ole Beisswenger , Jan-Niklas Dihlmann , Hendrik P. A. Lensch

We propose an adaptive form of frameless rendering with the potential to dramatically increase rendering speed over conventional interactive rendering approaches. Without the rigid sampling patterns of framed renderers, sampling and…

Graphics · Computer Science 2025-10-21 Abhinav Dayal , Cliff Woolley , Benjamin Watson , David Luebke

We propose a method that achieves state-of-the-art rendering quality and efficiency on monocular dynamic scene reconstruction using deformable 3D Gaussians. Implicit deformable representations commonly model motion with a canonical space…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Yiqing Liang , Numair Khan , Zhengqin Li , Thu Nguyen-Phuoc , Douglas Lanman , James Tompkin , Lei Xiao

Recent advancements in diffusion models have revolutionized video generation, enabling the creation of high-quality, temporally consistent videos. However, generating high frame-rate (FPS) videos remains a significant challenge due to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Geunmin Hwang , Hyun-kyu Ko , Younghyun Kim , Seungryong Lee , Eunbyung Park

Video frame interpolation is an increasingly important research task with several key industrial applications in the video coding, broadcast and production sectors. Recently, transformers have been introduced to the field resulting in…

Computer Vision and Pattern Recognition · Computer Science 2023-07-14 Issa Khalifeh , Luka Murn , Marta Mrak , Ebroul Izquierdo

The workload of real-time rendering is steeply increasing as the demand for high resolution, high refresh rates, and high realism rises, overwhelming most graphics cards. To mitigate this problem, one of the most popular solutions is to…

Graphics · Computer Science 2023-10-17 Zhihua Zhong , Jingsen Zhu , Yuxin Dai , Chuankun Zheng , Yuchi Huo , Guanlin Chen , Hujun Bao , Rui Wang

This work presents a supervised learning based approach to the computer vision problem of frame interpolation. The presented technique could also be used in the cartoon animations since drawing each individual frame consumes a noticeable…

Computer Vision and Pattern Recognition · Computer Science 2017-06-16 Vladislav Samsonov

Video frame interpolation aims to synthesize nonexistent frames in-between the original frames. While significant advances have been made from the recent deep convolutional neural networks, the quality of interpolation is often reduced due…

Computer Vision and Pattern Recognition · Computer Science 2019-04-02 Wenbo Bao , Wei-Sheng Lai , Chao Ma , Xiaoyun Zhang , Zhiyong Gao , Ming-Hsuan Yang

In this paper we present a novel method for efficient and effective 3D surface reconstruction in open scenes. Existing Neural Radiance Fields (NeRF) based works typically require extensive training and rendering time due to the adopted…

Computer Vision and Pattern Recognition · Computer Science 2024-12-05 Gaochao Song , Chong Cheng , Hao Wang

Traditional approaches to interpolate/extrapolate frames in a video sequence require accurate pixel correspondences between images, e.g., using optical flow. Their results stem on the accuracy of optical flow estimation, and could generate…

Computer Vision and Pattern Recognition · Computer Science 2018-03-21 Zhe Hu , Yinglan Ma , Lizhuang Ma

With the rise of real-time rendering and the evolution of display devices, there is a growing demand for post-processing methods that offer high-resolution content in a high frame rate. Existing techniques often suffer from quality and…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Ruian He , Shili Zhou , Yuqi Sun , Ri Cheng , Weimin Tan , Bo Yan

Video frame interpolation is an important low-level vision task, which can increase frame rate for more fluent visual experience. Existing methods have achieved great success by employing advanced motion models and synthesis networks.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-22 Lingtong Kong , Boyuan Jiang , Donghao Luo , Wenqing Chu , Ying Tai , Chengjie Wang , Jie Yang

Video Frame Interpolation aims to recover realistic missing frames between observed frames, generating a high-frame-rate video from a low-frame-rate video. However, without additional guidance, the large motion between frames makes this…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Jingxi Chen , Brandon Y. Feng , Haoming Cai , Tianfu Wang , Levi Burner , Dehao Yuan , Cornelia Fermuller , Christopher A. Metzler , Yiannis Aloimonos
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