NeurIPS "diffusion transformers" Papers

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Exploring Diffusion Transformer Designs via Grafting

Keshigeyan Chandrasegaran, Michael Poli, Dan Fu et al.

NeurIPS 2025oralarXiv:2506.05340
4
citations

LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding

Shen Zhang, Siyuan Liang, Yaning Tan et al.

NeurIPS 2025posterarXiv:2503.04344
1
citations

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

Qinkai XU, yijin liu, YangChen et al.

NeurIPS 2025oral