Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

Image editing aims to edit the given synthetic or real image to meet the specific requirements
from users. It is widely studied in recent years as a promising and challenging field of …

Recently, diffusion models have achieved remarkable success in text-to-image generation,
enabling the creation of high-quality images from text prompts and various conditions …

In this paper we uncover the untapped potential of diffusion U-Net which serves as a" free
lunch" that substantially improves the generation quality on the fly. We initially investigate …

Diffusion models have been shown to be capable of generating high-quality images,
suggesting that they could contain meaningful internal representations. Unfortunately, the …

Text-driven video generation witnesses rapid progress. However merely using text prompts
is not enough to depict the desired subject appearance that accurately aligns with users' …

Abstract We present CoDi-2 a Multimodal Large Language Model (MLLM) for learning in-
context interleaved multimodal representations. By aligning modalities with language for …

This paper unravels the potential of sketches for diffusion models addressing the deceptive
promise of direct sketch control in generative AI. We importantly democratise the process …

Text-conditioned image editing has emerged as a powerful tool for editing images. However,
in many situations, language can be ambiguous and ineffective in describing specific image …

Text-to-image (T2I) personalization allows users to guide the creative image generation
process by combining their own visual concepts in natural language prompts. Recently …