Recent advances in 2D and 3D generative modeling have paved the way for 4D generation. However, existing methods predominantly focus on text-to-4D generation, emphasizing temporal smoothness and spatial consistency while often neglecting precise motion control. Furthermore, due to the inherent ambiguity of text descrip...
Run-Xin Liu, Yang Chen, Ying-Wei Pan et al.· IEEE Transactions on Pattern...· 0 citations
Autoregressive models via next token prediction have emerged as a promising way towards unified models across multiple modalities for general artificial intelligence. Nevertheless, exploiting this idea to achieve single image to 3D generation remains a challenging problem. In this paper, we introduce a new Autoregressi...
Hai-Bo Yang, Yang Chen, Ying-Wei Pan et al.· IEEE Transactions on Pattern...· 0 citations
This work proposes EraseSAE, a novel framework that leverages sparse autoencoders to achieve surgical concept erasure in DiT-based T2V diffusion models via a principled decompose-attribute-erase pipeline, and introduces the Partitioned Convolutional Sparse Autoencoder.
Xing-Hao Wang, Dong Li, Wei Yu et al.· 0 citations
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