527 citations · 565 across the 13 of their papers we have counts for
5 papers · 1 filter
LADIS: Language Disentanglement for 3D Shape Editing
Ian Huang, Panos Achlioptas, Tianyi Zhang +3
Natural language interaction is a promising direction for democratizing 3D shape design. However, existing methods for text-driven 3D shape editing face challenges in producing dec…
ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes
Ahmed Abdelreheem, Kyle Olszewski, Hsin-Ying Lee +2
The two popular datasets ScanRefer [16] and ReferIt3D [3] connect natural language to real-world 3D data. In this paper, we curate a large-scale and complementary dataset extending…
Affection: Learning Affective Explanations for Real-World Visual Data
Panos Achlioptas, Maks Ovsjanikov, Leonidas Guibas +1
In this work, we explore the emotional reactions that real-world images tend to induce by using natural language as the medium to express the rationale behind an affective response…
Quantized GAN for Complex Music Generation from Dance Videos
Ye Zhu, Kyle Olszewski, Yu Wu +4
We present Dance2Music-GAN (D2M-GAN), a novel adversarial multi-modal framework that generates complex musical samples conditioned on dance videos. Our proposed framework takes dan…
NeROIC: Neural Rendering of Objects from Online Image Collections
Zhengfei Kuang, Kyle Olszewski, Menglei Chai +3
We present a novel method to acquire object representations from online image collections, capturing high-quality geometry and material properties of arbitrary objects from photogr…