Model merging is an efficient empowerment technique in the machine learning community
that does not require the collection of raw training data and does not require expensive …

Fine-tuning pre-trained models for downstream tasks has led to a proliferation of open-
sourced task-specific models. Recently, Model Merging (MM) has emerged as an effective …

Direct Preference Optimization (DPO) has emerged as a powerful approach to align text-to-
image (T2I) models with human feedback. Unfortunately, successful application of DPO to …

DALL-E and Sora have gained attention by producing implausible images, such as"
astronauts riding a horse in space." Despite the proliferation of text-to-vision models that …

Recent advancements in generation models have showcased remarkable capabilities in
generating fantastic content. However, most of them are trained on proprietary high-quality …

Text-to-image models have revolutionized content creation, enabling users to generate
images from natural language prompts. While recent advancements in conditioning these …

Storytelling video generation (SVG) has recently emerged as a task to create long, multi-
motion, multi-scene videos that consistently represent the story described in the input text …

Recent text-to-video (T2V) diffusion models have demonstrated impressive generation
capabilities across various domains. However, these models often generate videos that …