1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting
Jiarui Yang, Tao Dai, Naiqi Li +6
In recent years, generative pre-trained paradigms such as Large Language Models (LLMs) and Large Vision Models (LVMs) have achieved revolutionary advancements and widespread real-w…
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…