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We introduce the Fast Free Memory method (FFM), a new fast method for the numerical evaluation of convolution products. Inheriting from the Fast Multipole Method, the FFM is a descent-only and kernel-independent algorithm. We give the…

Numerical Analysis · Mathematics 2019-09-13 Matthieu Aussal , Marc Bakry

Generation-driven world models create immersive virtual environments but suffer slow inference due to the iterative nature of diffusion models. While recent advances have improved diffusion model efficiency, directly applying these…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Quanjian Song , Xinyu Wang , Donghao Zhou , Jingyu Lin , Cunjian Chen , Yue Ma

Recording fast motion in a high FPS (frame-per-second) requires expensive high-speed cameras. As an alternative, interpolating low-FPS videos from commodity cameras has attracted significant attention. If only low-FPS videos are available,…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Weihua He , Kaichao You , Zhendong Qiao , Xu Jia , Ziyang Zhang , Wenhui Wang , Huchuan Lu , Yaoyuan Wang , Jianxing Liao

3D Gaussian Splatting has demonstrated remarkable real-time rendering capabilities and superior visual quality in novel view synthesis for static scenes. Building upon these advantages, researchers have progressively extended 3D Gaussians…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Han Jiao , Jiakai Sun , Lei Zhao , Zhanjie Zhang , Wei Xing , Huaizhong Lin

Implicit neural representation has paved the way for new approaches to dynamic scene reconstruction and rendering. Nonetheless, cutting-edge dynamic neural rendering methods rely heavily on these implicit representations, which frequently…

Computer Vision and Pattern Recognition · Computer Science 2023-11-22 Ziyi Yang , Xinyu Gao , Wen Zhou , Shaohui Jiao , Yuqing Zhang , Xiaogang Jin

Video frame interpolation is a challenging problem because there are different scenarios for each video depending on the variety of foreground and background motion, frame rate, and occlusion. It is therefore difficult for a single network…

Computer Vision and Pattern Recognition · Computer Science 2020-04-03 Myungsub Choi , Janghoon Choi , Sungyong Baik , Tae Hyun Kim , Kyoung Mu Lee

Efficient and high-fidelity polarization demosaicking is critical for industrial applications of the division of focal plane (DoFP) polarization imaging systems. However, existing methods have an unsatisfactory balance of speed, accuracy,…

Image and Video Processing · Electrical Eng. & Systems 2024-09-02 Guangsen Liu , Peng Rao , Xin Chen , Yao Li , Haixin Jiang

This work addresses the problem of novel view synthesis in diverse scenes from small collections of RGB images. We propose ERUPT (Efficient Rendering with Unposed Patch Transformer) a state-of-the-art scene reconstruction model capable of…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Maxim V. Shugaev , Vincent Chen , Maxim Karrenbach , Kyle Ashley , Bridget Kennedy , Naresh P. Cuntoor

Due to hardware constraints, standard off-the-shelf digital cameras suffers from low dynamic range (LDR) and low frame per second (FPS) outputs. Previous works in high dynamic range (HDR) video reconstruction uses sequence of alternating…

Image and Video Processing · Electrical Eng. & Systems 2022-10-11 Zeeshan Khan , Parth Shettiwar , Mukul Khanna , Shanmuganathan Raman

Scene Graph Generation (SGG) aims to extract a detailed graph structure from an image, a representation that holds significant promise as a robust intermediate step for complex downstream tasks like reasoning for embodied agents. However,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Julian Lorenz , Vladyslav Kovganko , Elias Kohout , Mrunmai Phatak , Daniel Kienzle , Rainer Lienhart

Existing video frame interpolation methods can only interpolate the frame at a given intermediate time-step, e.g. 1/2. In this paper, we aim to explore a more generalized kind of video frame interpolation, that at an arbitrary time-step. To…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Shixing Yu , Yiyang Ma , Wenhan Yang , Wei Xiang , Jiaying Liu

A variety of Neural Radiance Fields (NeRF) methods have recently achieved remarkable success in high render speed. However, current accelerating methods are specialized and incompatible with various implicit methods, preventing real-time…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Xinyu Gao , Ziyi Yang , Yunlu Zhao , Yuxiang Sun , Xiaogang Jin , Changqing Zou

In this work, we extend the meshfree generalized multiscale exponential integration framework introduced in Nikiforov et al. (2025) to the simulation of three-dimensional advection--diffusion problems in heterogeneous and high-contrast…

Recent advances in high refresh rate displays as well as the increased interest in high rate of slow motion and frame up-conversion fuel the demand for efficient and cost-effective multi-frame video interpolation solutions. To that regard,…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Zhixiang Chi , Rasoul Mohammadi Nasiri , Zheng Liu , Juwei Lu , Jin Tang , Konstantinos N Plataniotis

The recovery of high-quality images from images corrupted by lens flare presents a significant challenge in low-level vision. Contemporary deep learning methods frequently entail training a lens flare removing model from scratch. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Tianwen Zhou , Qihao Duan , Zitong Yu

Neural Radiance Fields (NeRF) have demonstrated superior novel view synthesis performance but are slow at rendering. To speed up the volume rendering process, many acceleration methods have been proposed at the cost of large memory…

Computer Vision and Pattern Recognition · Computer Science 2022-12-19 Sicheng Li , Hao Li , Yue Wang , Yiyi Liao , Lu Yu

Real-time depth of field in game cinematics tends to approximate the semi-transparent silhouettes of out-of-focus objects through post-processing techniques. We leverage ray tracing hardware acceleration and spatio-temporal reconstruction…

Graphics · Computer Science 2022-10-13 Yu Wei Tan , Nicholas Chua , Nathan Biette , Anand Bhojan

We propose a light-weight video frame interpolation algorithm. Our key innovation is an instance-level supervision that allows information to be learned from the high-resolution version of similar objects. Our experiment shows that the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-30 Liangzhe Yuan , Yibo Chen , Hantian Liu , Tao Kong , Jianbo Shi

A surface light field represents the radiance of rays originating from any points on the surface in any directions. Traditional approaches require ultra-dense sampling to ensure the rendering quality. In this paper, we present a novel…

Computational Geometry · Computer Science 2018-10-16 Anpei Chen , Minye Wu , Yingliang Zhang , Nianyi Li , Jie Lu , Shenghua Gao , Jingyi Yu

Diffusion Transformer(DiT)-based generation models have achieved remarkable success in video generation. However, their inherent computational demands pose significant efficiency challenges. In this paper, we exploit the inherent temporal…

Computer Vision and Pattern Recognition · Computer Science 2025-04-17 Zhihang Yuan , Rui Xie , Yuzhang Shang , Hanling Zhang , Siyuan Wang , Shengen Yan , Guohao Dai , Yu Wang