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Tomas Jakab

14 papers hereh-index 10855 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author7
  • last author3

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV14

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedUnsupervised Learning of Object Landmarks through Conditional Image Generation

100 citations · 175 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction

Ben Kaye, Tomas Jakab, Shangzhe Wu +2

The choice of data representation is a key factor in the success of deep learning in geometric tasks. For instance, DUSt3R recently introduced the concept of viewpoint-invariant po…

cs.CV2024

DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors

Thomas Hanwen Zhu, Ruining Li, Tomas Jakab

We present DreamHOI, a novel method for zero-shot synthesis of human-object interactions (HOIs), enabling a 3D human model to realistically interact with any given object based on…

cs.CV2024

DreamBeast: Distilling 3D Fantastical Animals with Part-Aware Knowledge Transfer

Runjia Li, Junlin Han, Luke Melas-Kyriazi +6

We present DreamBeast, a novel method based on score distillation sampling (SDS) for generating fantastical 3D animal assets composed of distinct parts. Existing SDS methods often…

cs.CV2024

Learning the 3D Fauna of the Web

Zizhang Li, Dor Litvak, Ruining Li +6

Learning 3D models of all animals on the Earth requires massively scaling up existing solutions. With this ultimate goal in mind, we develop 3D-Fauna, an approach that learns a pan…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.