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Found 6 papers, 2 papers with code
Dynamic Neural Textures: Generating Talking-Face Videos with Continuously Controllable Expressions
In this paper, we propose a method to generate talking-face videos with continuously controllable expressions in real-time.
Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels
In this paper, we present a dynamic convolution kernel (DCK) strategy for convolutional neural networks.
3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos
The most challenging issue for our system is that the source domain of face photos (characterized by normal 2D faces) is significantly different from the target domain of 3D caricatures (characterized by 3D exaggerated face shapes and textures).
Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose
In this paper, we address this problem by proposing a deep neural network model that takes an audio signal A of a source person and a very short video V of a target person as input, and outputs a synthesized high-quality talking face video with personalized head pose (making use of the visual information in V), expression and lip synchronization (by considering both A and V).
A Configuration-Space Decomposition Scheme for Learning-based Collision Checking
Motion planning for robots of high degrees-of-freedom (DOFs) is an important problem in robotics with sampling-based methods in configuration space C as one popular solution.
Fast Computation of Content-Sensitive Superpixels and Supervoxels Using Q-Distances
Our key idea is that for manifold regions in which q-distances are different from geodesic distances, GCVT is prone to placing more generators in them, and therefore after few iterations, the q-distance-induced tessellation is an exact GCVT.
