From the 2 of 143 linked papers with an AI index.
1 citations · 2 across the 58 of their papers we have counts for
10 papers · 1 filter
Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation
Sharon Zhang, R. Kenny Jones, Jiajun Wu +1
We present a pipeline for building and aggregating task-specific, LLM-generated weak (imperfect) verifiers into a strong verifier for spatial layout domains. Given a task descripti…
Deep Sketch-Based 3D Modeling: A Survey
Alberto Tono, Jiajun Wu, Gordon Wetzstein +4
In the past decade, advances in artificial intelligence have revolutionized sketch-based 3D modeling, leading to a new paradigm known as Deep Sketch-Based 3D Modeling (DS-3DM). DS-…
Empowering LLMs with Structural Role Inference for Zero-Shot Graph Learning
Heng Zhang, Jing Liu, Jiajun Wu +8
Large Language Models have emerged as a promising approach for graph learning due to their powerful reasoning capabilities. However, existing methods exhibit systematic performance…
WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions
Zizhang Li, Hong-Xing Yu, Wei Liu +4
WonderPlay is a novel framework integrating physics simulation with video generation for generating action-conditioned dynamic 3D scenes from a single image. While prior works are…
WorldScore: A Unified Evaluation Benchmark for World Generation
Haoyi Duan, Hong-Xing Yu, Sirui Chen +2
We introduce the WorldScore benchmark, the first unified benchmark for world generation. We decompose world generation into a sequence of next-scene generation tasks with explicit…
3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds
Fan-Yun Sun, Shengguang Wu, Christian Jacobsen +13
Despite large-scale pretraining endowing models with language and vision reasoning capabilities, improving their spatial reasoning capability remains challenging due to the lack of…