diffusion transformer

EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching NeurIPS 2024 FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification NeurIPS 2024 GenTron: Diffusion Transformers for Image and Video Generation CVPR 2024 GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation NeurIPS 2024 Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching NeurIPS 2024 Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT NeurIPS 2024 MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models NeurIPS 2024 MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions NeurIPS 2024 MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence NeurIPS 2024 Photorealistic Video Generation with Diffusion Models ECCV 2024 PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis ICLR 2024 Prediction with Action: Visual Policy Learning via Joint Denoising Process NeurIPS 2024 PTQ4DiT: Post-training Quantization for Diffusion Transformers NeurIPS 2024 Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising NeurIPS 2024 SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer CVPR 2024 Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers CVPR 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers NeurIPS 2024 VDT: General-purpose Video Diffusion Transformers via Mask Modeling ICLR 2024 Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction NeurIPS 2024 Complexity Matters: Rethinking the Latent Space for Generative Modeling NeurIPS 2023 DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation NeurIPS 2023 ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer EMNLP 2023