5 citations · 8 across the 12 of their papers we have counts for
5 papers · 1 filter
ARTV: Auto-Regressive Text-to-Video Generation with Diffusion Models
Wenming Weng, Ruoyu Feng, Yanhui Wang +10
We present ARTV, an efficient framework for auto-regressive video generation with diffusion models. Unlike existing methods that generate entire videos in one-s…
Domain Adaptive Synapse Detection with Weak Point Annotations
Qi Chen, Wei Huang, Yueyi Zhang +1
The development of learning-based methods has greatly improved the detection of synapses from electron microscopy (EM) images. However, training a model for each dataset is time-co…
Deep Multi-Threshold Spiking-UNet for Image Processing
Hebei Li, Yueyi Zhang, Zhiwei Xiong +1
U-Net, known for its simple yet efficient architecture, is widely utilized for image processing tasks and is particularly suitable for deployment on neuromorphic chips. This paper…
Toward Real-World Light Field Super-Resolution
Zeyu Xiao, Ruisheng Gao, Yutong Liu +2
Deep learning has opened up new possibilities for light field super-resolution (SR), but existing methods trained on synthetic datasets with simple degradations (e.g., bicubic down…
Image Captioning with Multi-Context Synthetic Data
Feipeng Ma, Yizhou Zhou, Fengyun Rao +2
Image captioning requires numerous annotated image-text pairs, resulting in substantial annotation costs. Recently, large models (e.g. diffusion models and large language models) h…