Oral "diffusion transformers" Papers

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ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation

Zongyi Li, Shujie HU, Shujie LIU et al.

ICLR 2025oralarXiv:2410.20502
28
citations

Diffusion Transformers as Open-World Spatiotemporal Foundation Models

Yuan Yuan, Chonghua Han, Jingtao Ding et al.

NEURIPS 2025oralarXiv:2411.12164
10
citations

Emergent Temporal Correspondences from Video Diffusion Transformers

Jisu Nam, Soowon Son, Dahyun Chung et al.

NEURIPS 2025oralarXiv:2506.17220
11
citations

Exploring Diffusion Transformer Designs via Grafting

Keshigeyan Chandrasegaran, Michael Poli, Dan Fu et al.

NEURIPS 2025oralarXiv:2506.05340
5
citations

OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers

Ziqiao Peng, Jiwen Liu, Haoxian Zhang et al.

NEURIPS 2025oralarXiv:2505.21448
15
citations

Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape

Ruichen Chen, Keith Mills, Liyao Jiang et al.

NEURIPS 2025oralarXiv:2505.22918
1
citations

SparseDiT: Token Sparsification for Efficient Diffusion Transformer

Shuning Chang, Pichao WANG, Jiasheng Tang et al.

NEURIPS 2025oralarXiv:2412.06028
3
citations

VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers

Qinkai XU, yijin liu, YangChen et al.

NEURIPS 2025oral