Aashi Jain — accepted AI-conference papers

2024

SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code

Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A Ross +2

ICML 2024oral

This paper introduces SceneCraft, a Large Language Model (LLM) Agent converting text descriptions into Blender-executable Python scripts which render complex scenes with up to a hundred 3D assets. This process requires complex spatial planning and arrangement. We tackle these challenges through a co…

Cited by 39 Source ↗PDF ↗Scholar ↗

2021

MURAL: Multimodal, Multitask Representations Across Languages

Aashi Jain, Mandy Guo, Krishna Srinivasan, Ting Chen, Sneha Kudugunta, Chao Jia +2

EMNLP 2021finding

Both image-caption pairs and translation pairs provide the means to learn deep representations of and connections between languages. We use both types of pairs in MURAL (MUltimodal, MUltitask Representations Across Languages), a dual encoder that solves two tasks: 1) image-text matching and 2) trans…

Cited by 29 Source ↗PDF ↗Scholar ↗