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Found 5 papers, 0 papers with code
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
Generative models based on flow matching have attracted significant attention for their simplicity and superior performance in high-resolution image synthesis.
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space
To this end, we formulate an learnable energy-based latent space, and propose Noise-intensified Telescoping density-Ratio Estimation (NTRE) scheme for variational learning of an accurate latent space model without costly Markov Chain Monte Carlo.
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models
Text-to-image diffusion models have shown great success in generating high-quality text-guided images.
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
We hypothesize that the underlying phenomenological coverage has not been proportionally scaled up, leading to a skew of the presented phenomenon which harms generalization.
Transductive Matrix Completion with Calibration for Multi-Task Learning
Moreover, transduction with matrix completion is a useful method in multi-label learning.
