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Found 16 papers, 4 papers with code
Optical Flow Estimation Using Laplacian Mesh Energy
In this paper we present a novel non-rigid optical flow algorithm for dense image correspondence and non-rigid registration.
Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences
We demonstrate the success of our approach by showing significant error reduction on 6 popular optical flow algorithms applied to a range of real-world nonrigid benchmarks.
Blur Robust Optical Flow using Motion Channel
It is hard to estimate optical flow given a realworld video sequence with camera shake and other motion blur.
Video Interpolation using Optical Flow and Laplacian Smoothness
Non-rigid video interpolation is a common computer vision task.
Nonrigid Optical Flow Ground Truth for Real-World Scenes with Time-Varying Shading Effects
In this paper we present a dense ground truth dataset of nonrigidly deforming real-world scenes.
Learn to Model Motion from Blurry Footages
It is difficult to recover the motion field from a real-world footage given a mixture of camera shake and other photometric effects.
Multi-Task Learning by Maximizing Statistical Dependence
We tackle this by considering task-specific estimators as random variables.
Unsupervised Attention-guided Image to Image Translation
Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene.
Unsupervised Attention-guided Image-to-Image Translation
Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene.
RGBD-Dog: Predicting Canine Pose from RGBD Sensors
We evaluate our model on both synthetic and real RGBD images and compare our results to previously published work fitting canine models to images.
Full-Body Motion From a Single Head-Mounted Device: Generating SMPL Poses From Partial Observations
The increased availability and maturity of head-mounted and wearable devices opens up opportunities for remote communication and collaboration.
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation
Synthetic data is becoming increasingly common for training computer vision models for a variety of tasks.
Imitator: Personalized Speech-driven 3D Facial Animation
To address this, we present Imitator, a speech-driven facial expression synthesis method, which learns identity-specific details from a short input video and produces novel facial expressions matching the identity-specific speaking style and facial idiosyncrasies of the target actor.
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
One of the biggest challenges of this task is severe body truncation due to close social distances in egocentric scenarios, which brings large pose ambiguities for unseen body parts.
HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
Generating both plausible and accurate full body avatar motion is the key to the quality of immersive experiences in mixed reality scenarios.
3DiFACE: Diffusion-based Speech-driven 3D Facial Animation and Editing
To enable stochasticity as well as motion editing, we propose a lightweight audio-conditioned diffusion model for 3D facial motion.
