39 citations · 92 across the 21 of their papers we have counts for
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cs.CV2024
Large Motion Video Autoencoding with Cross-modal Video VAE
Yazhou Xing, Yang Fei, Yingqing He +4
Learning a robust video Variational Autoencoder (VAE) is essential for reducing video redundancy and facilitating efficient video generation. Directly applying image VAEs to indivi…
cs.CV2024★ 2 cited
TALE: Training-free Cross-domain Image Composition via Adaptive Latent Manipulation and Energy-guided Optimization
Kien T. Pham, Jingye Chen, Qifeng Chen
We present TALE, a novel training-free framework harnessing the generative capabilities of text-to-image diffusion models to address the cross-domain image composition task that fo…
cs.AI2024★ 2 cited
LLMs Meet Multimodal Generation and Editing: A Survey
Yingqing He, Zhaoyang Liu, Jingye Chen +13
With the recent advancement in large language models (LLMs), there is a growing interest in combining LLMs with multimodal learning. Previous surveys of multimodal large language m…