Search Results for author:
Found 12 papers, 4 papers with code
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
In this study, we propose AniPortrait, a novel framework for generating high-quality animation driven by audio and a reference portrait image.
3D Visibility-aware Generalizable Neural Radiance Fields for Interacting Hands
Subsequently, a feature fusion module that exploits the visibility of query points and mesh vertices is introduced to adaptively merge features of both hands, enabling the recovery of features in unseen areas.
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
However, due to the fixed hand topology and complex hand poses, current models are hard to generate meshes that are aligned with the image well.
OSNet & MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios
The second uses multiple networks to train different directional Hilbert filtering models for DBP images of multiple linear scannings, respectively, and then overlays the reconstructed results, i. e., Multiple Networks Overlaying (MNetO).
ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment
The embeddings are subsequently integrated into the facial animation generator to yield expressive and controllable facial animations.
LongDanceDiff: Long-term Dance Generation with Conditional Diffusion Model
To address this, we design a conditional diffusion model, LongDanceDiff, for this sequence-to-sequence long-term dance generation, addressing the challenges of temporal coherency and spatial constraint.
Analytical reconstructions of full-scan multiple source-translation computed tomography under large field of views
This paper is to investigate the high-quality analytical reconstructions of multiple source-translation computed tomography (mSTCT) under an extended field of view (FOV).
BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction
Micro-computed tomography (micro-CT) is a widely used state-of-the-art instrument employed to study the morphological structures of objects in various fields.
Semi-supervised Speech-driven 3D Facial Animation via Cross-modal Encoding
The former jointly learns a common representation space from speech and image domains, enabling the transformation of speech into semantically-consistent facial images.
Cross-lingual Text Classification with Heterogeneous Graph Neural Network
Cross-lingual text classification aims at training a classifier on the source language and transferring the knowledge to target languages, which is very useful for low-resource languages.
Training Deep Neural Networks Using Posit Number System
With the increasing size of Deep Neural Network (DNN) models, the high memory space requirements and computational complexity have become an obstacle for efficient DNN implementations.
SGAD: Soft-Guided Adaptively-Dropped Neural Network
Based on the developed guideline and adaptive dropping mechanism, an innovative soft-guided adaptively-dropped (SGAD) neural network is proposed in this paper.
