Search Results for author:
Found 19 papers, 8 papers with code
Du²Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
Computational stereo has reached a high level of accuracy, but degrades in the presence of occlusions, repeated textures, and correspondence errors along edges.
MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space
We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization.
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis
NeRFs have enabled highly realistic synthesis of human faces including complex appearance and reflectance effects of hair and skin.
Controllable Light Diffusion for Portraits
We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh shadows and specular highlights while preserving overall scene illumination.
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
The learnt avatar is driven by a parametric face model to achieve user-controlled facial expressions and head poses.
VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
We propose VoLux-GAN, a generative framework to synthesize 3D-aware faces with convincing relighting.
NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis
Building upon the recent progress in novel view synthesis, we propose its application to improve monocular depth estimation.
Ranked #27 on
Monocular Depth Estimation
on KITTI Eigen split
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
Synthetic data generation has become essential in last years for feeding data-driven algorithms, which surpassed traditional techniques performance in almost every computer vision problem.
H-GAN: the power of GANs in your Hands
Relying on image-to-image translation, we improve the appearance of synthetic hands to approximate the statistical distribution underlying a collection of real images of hands.
Neural Light Transport for Relighting and View Synthesis
In particular, we show how to fuse previously seen observations of illuminants and views to synthesize a new image of the same scene under a desired lighting condition from a chosen viewpoint.
A Review on Deep Learning Techniques for Video Prediction
The ability to predict, anticipate and reason about future outcomes is a key component of intelligent decision-making systems.
Du$^2$Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
Computational stereo has reached a high level of accuracy, but degrades in the presence of occlusions, repeated textures, and correspondence errors along edges.
UASOL, a large-scale high-resolution outdoor stereo dataset
In this paper, we propose a new dataset for outdoor depth estimation from single and stereo RGB images.
Ranked #1 on
Monocular Depth Estimation
on UASOL
Monocular Depth Estimation
Vocal Bursts Intensity Prediction
A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments
On the other hand, for the quantitative evaluation a novel error metric has been proposed to visually analyze the performed grips.
The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions
Enter the RobotriX, an extremely photorealistic indoor dataset designed to enable the application of deep learning techniques to a wide variety of robotic vision problems.
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
Tactile sensors provide useful contact data during the interaction with an object which can be used to accurately learn to determine the stability of a grasp.
UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation
Gathering and annotating that sheer amount of data in the real world is a time-consuming and error-prone task.
Large-scale Multiview 3D Hand Pose Dataset
In this work, we introduce a multiview hand pose dataset in which we provide color images of hands and different kind of annotations for each, i. e the bounding box and the 2D and 3D location on the joints in the hand.
A Review on Deep Learning Techniques Applied to Semantic Segmentation
This demand coincides with the rise of deep learning approaches in almost every field or application target related to computer vision, including semantic segmentation or scene understanding.
