Panos Achlioptas

Orcid: 0000-0001-6427-6055

According to our database1, Panos Achlioptas authored at least 23 papers between 2017 and 2024.

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Bibliography

2024
Promptable Game Models: Text-guided Game Simulation via Masked Diffusion Models.
ACM Trans. Graph., April, 2024

ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods.
CoRR, 2023

Plotting Behind the Scenes: Towards Learnable Game Engines.
CoRR, 2023

Affection: Learning Affective Explanations for Real-World Visual Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
NeROIC: neural rendering of objects from online image collections.
ACM Trans. Graph., 2022

LADIS: Language Disentanglement for 3D Shape Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Quantized GAN for Complex Music Generation from Dance Videos.
Proceedings of the Computer Vision - ECCV 2022, 2022

PartGlot: Learning Shape Part Segmentation from Language Reference Games.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ArtEmis: Affective Language for Visual Art.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
DeformSyncNet: Deformation transfer via synchronized shape deformation spaces.
ACM Trans. Graph., 2020

Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss.
CoRR, 2020

ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Composite Shape Modeling via Latent Space Factorization.
CoRR, 2019

Limit Shapes - A Tool for Understanding Shape Differences and Variability in 3D Model Collections.
Comput. Graph. Forum, 2019

OperatorNet: Recovering 3D Shapes From Difference Operators.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Composite Shape Modeling via Latent Space Factorization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Shapeglot: Learning Language for Shape Differentiation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Latent Space Representation for Shape Analysis and Learning.
CoRR, 2018

Learning Representations and Generative Models for 3D Point Clouds.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Representation Learning and Adversarial Generation of 3D Point Clouds.
CoRR, 2017


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