arXiv Machine Learning
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
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arXiv AI
4d ago
Rethinking the design space of Vanilla Pixel Diffusion Transformers
The paper revisits pixel-space diffusion models, showing that a vanilla diffusion transformer can generate directly in pixel space by swapping velocity prediction for clean image prediction. It introduces MFlow, an adaptive parameterization that interpolates between these two prediction modes based on data representation and model capacity, and demonstrates competitive performance on ImageNet, UCF‑101, and text‑to‑image tasks. Additionally, the authors add ConvRefiner, a lightweight convolutional module trained post‑hoc to restore high‑frequency details while preserving FID.
arXiv Computer Vision
Sep 16
CineScale: Tuning-Free High-Resolution Video Generation
arXiv:2508.15774v2 Announce Type: replace Abstract: Visual diffusion models achieve remarkable progress, yet they are typically trained at limited resolutions due to the lack of high-resolution data...
arXiv Computer Vision
Oct 1
DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
arXiv:2609.39222v1 Announce Type: new Abstract: High-compression tokenizers are essential for scaling latent image generative models. However, aggressive compression creates a fundamental tradeoff be...
Hugging Face Trending Papers
Jun 8
TUDSR: Twice Upsampling-Diffusion for Higher Super-Resolution
Diffusion-based generative models have achieved remarkable success in real-world image super-resolution (SR). With tiled diffusion techniques, these models can produce high-resolution images that exceed their native-supported resolution.
arXiv AI
Jul 22
Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing
arXiv:2607. 19064v1 Announce Type: cross Abstract: Large-scale visual generators are increasingly capable but costly to train, fine-tune, and deploy.
arXiv Computer Vision
Sep 15
DNF-SR: Dual-Input and Negative-Aware Feature Fine-Tuning for Real-World Image Super-Resolution
arXiv:2609.15120v1 Announce Type: new Abstract: Benefiting from the powerful generative priors of diffusion models, diffusion-based real-world image super-resolution (Real-ISR) methods have demonstra...