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A latent text-to-image diffusion model
High-Resolution Image Synthesis with Latent Diffusion Models
Taming Transformers for High-Resolution Image Synthesis
source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer
[ICCV 2025] SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
[ECCV 2026] Official implementation of the paper: "Schrödinger's Cat: Probabilistic Representation and Prediction of Potential Scene Kinematics"
[CVPR 2026] A PyTorch implementation of the paper "EDGS: Eliminating Densification for Efficient Convergence of 3DGS"
[CVPR 2026] Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
[CVPR 2026] Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation
[ICLR 2026] Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
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