5 citations · 13 across the 17 of their papers we have counts for
6 papers · 1 filter
ProcGen3D: Learning Neural Procedural Graph Representations for Image-to-3D Reconstruction
Xinyi Zhang, Daoyi Gao, Naiqi Li +1
We introduce ProcGen3D, a new approach for 3D content creation by generating procedural graph abstractions of 3D objects, which can then be decoded into rich, complex 3D assets. In…
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
Jiarui Yang, Tao Dai, Yufei Zhu +3
Diffusion models represent the state-of-the-art in generative modeling. Due to their high training costs, many works leverage pre-trained diffusion models' powerful representations…
DNF: Unconditional 4D Generation with Dictionary-based Neural Fields
Xinyi Zhang, Naiqi Li, Angela Dai
While remarkable success has been achieved through diffusion-based 3D generative models for shapes, 4D generative modeling remains challenging due to the complexity of object defor…
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
Yaohua Zha, Naiqi Li, Yanzi Wang +6
The pre-trained point cloud model based on Masked Point Modeling (MPM) has exhibited substantial improvements across various tasks. However, these models heavily rely on the Transf…
MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network
Yujun Huang, Bin Chen, Naiqi Li +3
Conventional compressed sensing (CS) algorithms typically apply a uniform sampling rate to different image blocks. A more strategic approach could be to allocate the number of meas…
SIAD: Self-supervised Image Anomaly Detection System
Jiawei Li, Chenxi Lan, Xinyi Zhang +7
Recent trends in AIGC effectively boosted the application of visual inspection. However, most of the available systems work in a human-in-the-loop manner and can not provide long-t…