1 citations · 1 across the 4 of their papers we have counts for
5 papers
Abductive Logical Rule Induction by Bridging Inductive Logic Programming and Multimodal Large Language Models
Yifei Peng, Yaoli Liu, Enbo Xia +5
We propose ILP-CoT, a method that bridges Inductive Logic Programming (ILP) and Multimodal Large Language Models (MLLMs) for abductive logical rule induction. The task involves bot…
ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation
Cihang Peng, Qiming Hou, Zhong Ren +1
We present ROVI, a high-quality synthetic dataset for instance-grounded text-to-image generation, created by labeling 1M curated web images. Our key innovation is a strategy called…
Shape Adaptation for 3D Hairstyle Retargeting
Lu Yu, Zhong Ren, Youyi Zheng +2
It is demanding to author an existing hairstyle for novel characters in games and VR applications. However, it is a non-trivial task for artists due to the complicated hair geometr…
QPoser: Quantized Explicit Pose Prior Modeling for Controllable Pose Generation
Yumeng Li, Yaoxiang Ding, Zhong Ren +1
Explicit pose prior models compress human poses into latent representations for using in pose-related downstream tasks. A desirable explicit pose prior model should satisfy three d…
Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings
Yifei Peng, Zijie Zha, Yu Jin +5
Making neural visual generative models controllable by logical reasoning systems is promising for improving faithfulness, transparency, and generalizability. We propose the Abducti…