Related Experiment Video
Updated: Aug 4, 2025
11:34
High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
15.7K
Deep Face Video Inpainting via UV Mapping.
Summary
This study introduces a novel two-stage deep learning approach for face video inpainting, significantly improving results for faces with varying poses and expressions by using 3D Morphable Models (3DMM). The method excels where traditional 2D techniques falter, offering superior face reconstruction.
Area of Science:
- Computer Vision
- Artificial Intelligence
- Machine Learning
Background:
- Existing video inpainting methods are suboptimal for faces due to lack of face-specific priors.
- Natural scene inpainting techniques fail to address large pose and expression variations in faces.
Purpose of the Study:
- To develop an advanced deep learning method for face video inpainting.
- To leverage 3D face priors for improved correspondence retrieval and reconstruction.
Main Methods:
- A two-stage deep learning framework utilizing 3D Morphable Models (3DMM) for face prior.
- Stage I: Inpainting in UV space to mitigate pose/expression variations, employing frame-wise attention.
- Stage II: Refining inpainted regions and background in image space.
Main Results:
- The proposed method significantly outperforms existing 2D-based methods.
- Superior performance is demonstrated, especially for faces with large pose and expression variations.
- The UV space inpainting effectively handles alignment and feature learning.
Conclusions:
- The 3DMM-based approach offers a robust solution for face video inpainting.
- The two-stage method effectively addresses challenges posed by dynamic facial changes.
- This work advances the state-of-the-art in generative AI for video editing.
More Related Videos
Related Concept Videos
01:18Uniform Depth Channel Flow: Problem Solving
105
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
105
01:27Uniform Depth Channel Flow
111
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
111
01:20Deconvolution
212
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
212
02:18Fischer Projections
13.5K
Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines.
13.5K
01:22Upsampling
275
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
275
01:19Masking and Demasking Agents
2.5K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
2.5K