Papers Motion Interpolation
“Motion Interpolation” 태그가 달린 논문 21편 · 필터 해제
SILK: Smooth InterpoLation frameworK for motion in-betweening A Simplified Computational Approach
Motion in-betweening is a crucial tool for animators, enabling intricate control over pose-level details in each keyframe. Recent machine learning solutions for motion in-betweening rely on complex models, incorporating …
motion in-betweeningMotion InterpolationVideo Motion Graphs
We present Video Motion Graphs, a system designed to generate realistic human motion videos. Using a reference video and conditional signals such as music or motion tags, the system synthesizes new videos by first retrie…
Motion InterpolationVideo Frame InterpolationVideo GenerationSelf Supervised Networks for Learning Latent Space Representations of Human Body Scans and Motions
This paper introduces self-supervised neural network models to tackle several fundamental problems in the field of 3D human body analysis and processing. First, we propose VariShaPE (Varifold Shape Parameter Estimator), …
Motion InterpolationMotion Keyframe Interpolation for Any Human Skeleton via Temporally Consistent Point Cloud Sampling and Reconstruction
In the character animation field, modern supervised keyframe interpolation models have demonstrated exceptional performance in constructing natural human motions from sparse pose definitions. As supervised models, large …
Motion InterpolationRepresentation LearningMotion Flow Matching for Human Motion Synthesis and Editing
Human motion synthesis is a fundamental task in computer animation. Recent methods based on diffusion models or GPT structure demonstrate commendable performance but exhibit drawbacks in terms of slow sampling speeds and…
Motion GenerationMotion Interpolationmotion predictionMotion SynthesisMoMask: Generative Masked Modeling of 3D Human Motions
We introduce MoMask, a novel masked modeling framework for text-driven 3D human motion generation. In MoMask, a hierarchical quantization scheme is employed to represent human motion as multi-layer discrete motion tokens…
Human motion predictionMotion ForecastingMotion GenerationMotion Interpolation+1MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution
This work addresses continuous space-time video super-resolution (C-STVSR) that aims to up-scale an input video both spatially and temporally by any scaling factors. One key challenge of C-STVSR is to propagate informati…
Motion InterpolationSpace-time Video Super-resolutionSuper-ResolutionVideo Super-ResolutionShuffled Autoregression For Motion Interpolation
This work aims to provide a deep-learning solution for the motion interpolation task. Previous studies solve it with geometric weight functions. Some other works propose neural networks for different problem settings wit…
Motion InterpolationContinuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation
Deriving sophisticated 3D motions from sparse keyframes is a particularly challenging problem, due to continuity and exceptionally skeletal precision. The action features are often derivable accurately from the full seri…
Motion InterpolationMotion SynthesisAn Efficient Framework for Few-shot Skeleton-based Temporal Action Segmentation
Temporal action segmentation (TAS) aims to classify and locate actions in the long untrimmed action sequence. With the success of deep learning, many deep models for action segmentation have emerged. However, few-shot TA…
Action SegmentationData AugmentationMotion InterpolationSegmentation+1MoDi: Unconditional Motion Synthesis from Diverse Data
The emergence of neural networks has revolutionized the field of motion synthesis. Yet, learning to unconditionally synthesize motions from a given distribution remains challenging, especially when the motions are highly…
Motion InterpolationMotion SynthesisNeMF: Neural Motion Fields for Kinematic Animation
We present an implicit neural representation to learn the spatio-temporal space of kinematic motions. Unlike previous work that represents motion as discrete sequential samples, we propose to express the vast motion spac…
MiscellaneousMotion GenerationMotion Interpolation3D Moments from Near-Duplicate Photos
We introduce 3D Moments, a new computational photography effect. As input we take a pair of near-duplicate photos, i.e., photos of moving subjects from similar viewpoints, common in people's photo collections. As output,…
Motion InterpolationMotionCLIP: Exposing Human Motion Generation to CLIP Space
We introduce MotionCLIP, a 3D human motion auto-encoder featuring a latent embedding that is disentangled, well behaved, and supports highly semantic textual descriptions. MotionCLIP gains its unique power by aligning it…
DisentanglementMotion GenerationMotion InterpolationDiversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder
In this paper, we present a deep generative model based method to generate diverse human motion interpolation results. We resort to the Conditional Variational Auto-Encoder (CVAE) to learn human motion conditioned on a p…
DecoderDiversityMotion InterpolationLearning a Deep Motion Interpolation Network for Human Skeleton Animations
Motion interpolation technology produces transition motion frames between two discrete movements. It is wildly used in video games, virtual reality and augmented reality. In the fields of computer graphics and animations…
Motion InterpolationRhythmNeural 3D Video Synthesis from Multi-view Video
We propose a novel approach for 3D video synthesis that is able to represent multi-view video recordings of a dynamic real-world scene in a compact, yet expressive representation that enables high-quality view synthesis …
Motion InterpolationOnline Initialization and Extrinsic Spatial-Temporal Calibration for Monocular Visual-Inertial Odometry
This paper presents an online initialization method for bootstrapping the optimization-based monocular visual-inertial odometry (VIO). The method can online calibrate the relative transformation (spatial) and time offset…
Motion InterpolationPose EstimationVideo Interpolation and Prediction with Unsupervised Landmarks
Prediction and interpolation for long-range video data involves the complex task of modeling motion trajectories for each visible object, occlusions and dis-occlusions, as well as appearance changes due to viewpoint and …
DecoderMotion InterpolationOptical Flow EstimationPrediction+1Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation
In this survey we carefully analyze the characteristics of higher order rigid body motion interpolation methods to obtain a continuous trajectory from a discrete set of poses. We first discuss the tradeoff between contin…
Motion Interpolation