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Junsong Chen

SANA-Video is accepted as Oral by ICLR 2026. 🎉🎉🎉
DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space
DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
SANA is accepted as Oral by ICLR 2025. 🎉🎉🎉
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
HART: Efficient Visual Generation with Hybrid Autoregressive Transformer
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

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