Papers Motion Magnification
“Motion Magnification” 태그가 달린 논문 38편 · 필터 해제
Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation
Understanding the internal representations and decision mechanisms of deep neural networks remains a critical open challenge. While existing interpretability methods often identify influential input regions, they may not…
Motion MagnificationAMMSM: Adaptive Motion Magnification and Sparse Mamba for Micro-Expression Recognition
Micro-expressions are typically regarded as unconscious manifestations of a person's genuine emotions. However, their short duration and subtle signals pose significant challenges for downstream recognition. We propose a…
MambaMicro Expression RecognitionMicro-Expression RecognitionMotion Magnification+1Image Processing for Motion Magnification
Motion Magnification (MM) is a collection of relative recent techniques within the realm of Image Processing. The main motivation of introducing these techniques in to support the human visual system to capture relevant …
Motion MagnificationObjectNon-Invasive Qualitative Vibration Analysis using Event Camera
This technical report investigates the application of event-based vision sensors in non-invasive qualitative vibration analysis, with a particular focus on frequency measurement and motion magnification. Event cameras, w…
Event-based visionMotion MagnificationThree-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition
Micro-expressions are subtle facial movements that occur spontaneously when people try to conceal real emotions. Micro-expression recognition is crucial in many fields, including criminal analysis and psychotherapy. Howe…
Knowledge DistillationMicro Expression RecognitionMicro-Expression RecognitionMotion Magnification+1SpikeMM: Flexi-Magnification of High-Speed Micro-Motions
The amplification of high-speed micro-motions holds significant promise, with applications spanning fault detection in fast-paced industrial environments to refining precision in medical procedures. However, conventional…
Fault DetectionMotion MagnificationSuper-ResolutionFrequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
Video Motion Magnification (VMM) aims to reveal subtle and imperceptible motion information of objects in the macroscopic world. Prior methods directly model the motion field from the Eulerian perspective by Representati…
Motion MagnificationRepresentation LearningRevisiting Learning-based Video Motion Magnification for Real-time Processing
Video motion magnification is a technique to capture and amplify subtle motion in a video that is invisible to the naked eye. The deep learning-based prior work successfully demonstrates the modelling of the motion magni…
Computational EfficiencyDecoderDeep LearningMotion Magnification+1Event-Based Motion Magnification
Detecting and magnifying imperceptible high-frequency motions in real-world scenarios has substantial implications for industrial and medical applications. These motions are characterized by small amplitudes and high fre…
BenchmarkingMotion DetectionMotion MagnificationLearning-based Axial Video Motion Magnification
Video motion magnification amplifies invisible small motions to be perceptible, which provides humans with a spatially dense and holistic understanding of small motions in the scene of interest. This is based on the prem…
Motion MagnificationEulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer
Video Motion Magnification (VMM) aims to break the resolution limit of human visual perception capability and reveal the imperceptible minor motion that contains valuable information in the macroscopic domain. However, c…
DenoisingMotion MagnificationSelf-Supervised Motion Magnification by Backpropagating Through Optical Flow
This paper presents a simple, self-supervised method for magnifying subtle motions in video: given an input video and a magnification factor, we manipulate the video such that its new optical flow is scaled by the desire…
Motion MagnificationOptical Flow EstimationTest-time Adaptation3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields
Motion magnification helps us visualize subtle, imperceptible motion. However, prior methods only work for 2D videos captured with a fixed camera. We present a 3D motion magnification method that can magnify subtle motio…
Motion MagnificationMotion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation
Ultrasound (US) imaging is widely used for diagnosing and monitoring arterial diseases, mainly due to the advantages of being non-invasive, radiation-free, and real-time. In order to provide additional information to ass…
Motion MagnificationSegmentationDeformation Monitoring of Tunnel using Phase-based Motion Magnification and Optical Flow
During construction, continuous monitoring of underground tunnels can mitigate potential hazards and facilitate an in-depth understanding of the ground-tunnel interaction behavior. Traditional vision-based monitoring can…
GPUMotion MagnificationOptical Flow EstimationSTB-VMM: Swin Transformer Based Video Motion Magnification
The goal of video motion magnification techniques is to magnify small motions in a video to reveal previously invisible or unseen movement. Its uses extend from bio-medical applications and deepfake detection to structur…
Motion MagnificationMulti Domain Learning for Motion Magnification
Video motion magnification makes subtle invisible motions visible, such as small chest movements while breathing, subtle vibrations in the moving objects etc. But small motions are prone to noise, illumination change…
Motion Magnification3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields
Motion magnification helps us visualize subtle, imperceptible motion. However, prior methods only work for 2D videos captured with a fixed camera. We present a 3D motion magnification method that can magnify subtle m…
Motion MagnificationHow Do Deepfakes Move? Motion Magnification for Deepfake Source Detection
With the proliferation of deep generative models, deepfakes are improving in quality and quantity everyday. However, there are subtle authenticity signals in pristine videos, not replicated by SOTA GANs. We contrast the …
Face SwappingMotion MagnificationEulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings
Efficient and accurate detection of subtle motion generated from small objects in noisy environments, as needed for vital sign monitoring, is challenging, but can be substantially improved with magnification. We develope…
Motion Magnification