activity
20192026
most citedSynthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild

44 citations · 115 across the 26 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.LG2023

Function-constrained Program Synthesis

Patrick Hajali, Ignas Budvytis

This work introduces (1) a technique that allows large language models (LLMs) to leverage user-provided code when solving programming tasks and (2) a method to iteratively generate…

cs.CV2023

A Neural Height-Map Approach for the Binocular Photometric Stereo Problem

Fotios Logothetis, Ignas Budvytis, Roberto Cipolla

In this work we propose a novel, highly practical, binocular photometric stereo (PS) framework, which has same acquisition speed as single view PS, however significantly improves t…

cs.CV2023

Sparse Multi-Object Render-and-Compare

Florian Langer, Ignas Budvytis, Roberto Cipolla

Reconstructing 3D shape and pose of static objects from a single image is an essential task for various industries, including robotics, augmented reality, and digital content creat…

cs.CV2023★ 1 cited

HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation

Akash Sengupta, Ignas Budvytis, Roberto Cipolla

Monocular 3D human pose and shape estimation is an ill-posed problem since multiple 3D solutions can explain a 2D image of a subject. Recent approaches predict a probability distri…

cs.CV2023★ 2 cited

SFD2: Semantic-guided Feature Detection and Description

Fei Xue, Ignas Budvytis, Roberto Cipolla

Visual localization is a fundamental task for various applications including autonomous driving and robotics. Prior methods focus on extracting large amounts of often redundant loc…

cs.CV2023★ 1 cited

IMP: Iterative Matching and Pose Estimation with Adaptive Pooling

Fei Xue, Ignas Budvytis, Roberto Cipolla

Previous methods solve feature matching and pose estimation using a two-stage process by first finding matches and then estimating the pose. As they ignore the geometric relationsh…