Search Results for author:
Found 11 papers, 5 papers with code
Video Based Reconstruction of 3D People Models
This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a single, monocular video in which a person is moving.
Tex2Shape: Detailed Full Human Body Geometry From a Single Image
From a partial texture, we estimate detailed normal and vector displacement maps, which can be applied to a low-resolution smooth body model to add detail and clothing.
Learning to Reconstruct People in Clothing from a Single RGB Camera
We present a learning-based model to infer the personalized 3D shape of people from a few frames (1-8) of a monocular video in which the person is moving, in less than 10 seconds with a reconstruction accuracy of 5mm.
Detailed Human Avatars from Monocular Video
We present a novel method for high detail-preserving human avatar creation from monocular video.
High-Fidelity Neural Human Motion Transfer from Monocular Video
We address these limitations for the first time in the literature and present a new framework which performs high-fidelity and temporally-consistent human motion transfer with natural pose-dependent non-rigid deformations, for several types of loose garments.
Optical Flow-based 3D Human Motion Estimation from Monocular Video
Under the assumption that starting from an initial pose optical flow constrains subsequent human motion, we exploit flow to find temporally coherent human poses of a motion sequence.
A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing
An algorithmic framework to compute sparse or minimal-TV solutions of linear systems is proposed.
Sampling Based Scene-Space Video Processing
We present a novel, sampling-based framework for processing video that enables high-quality scene-space video effects in the presence of inevitable errors in depth and camera pose estimation.
N-SfC: Robust and Fast Shape Estimation from Caustic Images
This paper deals with the highly challenging problem of reconstructing the shape of a refracting object from a single image of its resulting caustic.
Fast Non-Rigid Radiance Fields from Monocularized Data
The reconstruction and novel view synthesis of dynamic scenes recently gained increased attention.
INPC: Implicit Neural Point Clouds for Radiance Field Rendering
We introduce a new approach for reconstruction and novel-view synthesis of unbounded real-world scenes.
