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Found 7 papers, 2 papers with code
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models
With the emergence of text-to-video (T2V) diffusion models, its temporal counterpart, motion customization, has not yet been well investigated.
Circuit-centric Genetic Algorithm (CGA) for Analog and Radio-Frequency Circuit Optimization
This paper presents an automated method for optimizing parameters in analog/high-frequency circuits, aiming to maximize performance parameters of a radio-frequency (RF) receiver.
Attribute Based Interpretable Evaluation Metrics for Generative Models
In this context, we propose a new evaluation protocol that measures the divergence of a set of generated images from the training set regarding the distribution of attribute strengths as follows.
Training-free Content Injection using h-space in Diffusion Models
Instead, our method manipulates intermediate features within a feed-forward generative process.
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models
Despite the success of diffusion models (DMs), we still lack a thorough understanding of their latent space.
Diffusion Models already have a Semantic Latent Space
To address the problem, we propose asymmetric reverse process (Asyrp) which discovers the semantic latent space in frozen pretrained diffusion models.
FurryGAN: High Quality Foreground-aware Image Synthesis
Foreground-aware image synthesis aims to generate images as well as their foreground masks.
