1 citations · 2 across the 8 of their papers we have counts for
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Super-Resolution Appearance Transfer for 4D Human Performances
Marco Pesavento, Marco Volino, Adrian Hilton
A common problem in the 4D reconstruction of people from multi-view video is the quality of the captured dynamic texture appearance which depends on both the camera resolution and…
Attention-based Multi-Reference Learning for Image Super-Resolution
Marco Pesavento, Marco Volino, Adrian Hilton
This paper proposes a novel Attention-based Multi-Reference Super-resolution network (AMRSR) that, given a low-resolution image, learns to adaptively transfer the most similar text…
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation
Moira Shooter, Charles Malleson, Adrian Hilton
Estimating the pose of animals can facilitate the understanding of animal motion which is fundamental in disciplines such as biomechanics, neuroscience, ethology, robotics and the…
Multi-person Implicit Reconstruction from a Single Image
Armin Mustafa, Akin Caliskan, Lourdes Agapito +1
We present a new end-to-end learning framework to obtain detailed and spatially coherent reconstructions of multiple people from a single image. Existing multi-person methods suffe…
Temporal Consistency Loss for High Resolution Textured and Clothed 3DHuman Reconstruction from Monocular Video
Akin Caliskan, Armin Mustafa, Adrian Hilton
We present a novel method to learn temporally consistent 3D reconstruction of clothed people from a monocular video. Recent methods for 3D human reconstruction from monocular video…
Multi-View Consistency Loss for Improved Single-Image 3D Reconstruction of Clothed People
Akin Caliskan, Armin Mustafa, Evren Imre +1
We present a novel method to improve the accuracy of the 3D reconstruction of clothed human shape from a single image. Recent work has introduced volumetric, implicit and model-bas…