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Found 10 papers, 8 papers with code
Dyadic Interaction Modeling for Social Behavior Generation
Hence, an effective model for generating listener nonverbal behaviors requires understanding the dyadic context and interaction.
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis
The rendering view is then manipulated with a novel conditional control module that interprets the camera pose by watching a condition image of a crossed subject from the same view.
MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
In this work, we propose MagicPose, a diffusion-based model for 2D human pose and facial expression retargeting.
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features
The proposed FG-Net achieves a strong generalization ability for heatmap-based AU detection thanks to the generalizable and semantic-rich features extracted from the pre-trained generative model.
LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis
Facial expression analysis is an important tool for human-computer interaction.
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild
Facial action unit detection has emerged as an important task within facial expression analysis, aimed at detecting specific pre-defined, objective facial expressions, such as lip tightening and cheek raising.
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering
Finding accurate correspondences among different views is the Achilles' heel of unsupervised Multi-View Stereo (MVS).
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
The new formulation makes our method only sample a very small number of depth hypotheses in each step, which is highly memory efficient, and also greatly facilitates quick training convergence.
Ranked #7 on
3D Reconstruction
on DTU
CDNet is all you need: Cascade DCN based underwater object detection RCNN
Object detection is a very important basic research direction in the field of computer vision and a basic method for other advanced tasks in the field of computer vision.
Efficient Learning of Optimal Markov Network Topology with k-Tree Modeling
The seminal work of Chow and Liu (1968) shows that approximation of a finite probabilistic system by Markov trees can achieve the minimum information loss with the topology of a maximum spanning tree.
