4 papers
Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles
Peng Wang, Xiang Liu, Peidong Liu
Stylizing 3D scenes instantly while maintaining multi-view consistency and faithfully resembling a style image remains a significant challenge. Current state-of-the-art 3D stylizat…
Learning Radiance Fields from a Single Snapshot Compressive Image
Yunhao Li, Xiang Liu, Xiaodong Wang +2
In this paper, we explore the potential of Snapshot Compressive Imaging (SCI) technique for recovering the underlying 3D scene structure from a single temporal compressed image. SC…
Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation
Peidong Liu, Wenbo Zhang, Wei Ju +2
The paradigm shift toward structure-driven molecule generation has been propelled by advances in deep generative models, such as variational auto-encoders and diffusion models. How…
Vector-Quantized Prompt Learning for Paraphrase Generation
Haotian Luo, Yixin Liu, Peidong Liu +1
Deep generative modeling of natural languages has achieved many successes, such as producing fluent sentences and translating from one language into another. However, the developme…