While recent years have witnessed great progress on using diffusion models for video
generation, most of them are simple extensions of image generation frameworks, which fail …

Recent text-to-image generation methods such as ControlNet have achieved remarkable
success in controlling image layouts, where the generated images by the default model are …

Diffusion models have shown superior performance on unsupervised anomaly detection
tasks. Since trained with normal data only, diffusion models tend to reconstruct normal …

Abstract Text-to-image (T2I) diffusion models have shown significant success in
personalized text-to-image generation, which aims to generate novel images with human …

With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …

Transition videos play a crucial role in media production, enhancing the flow and coherence
of visual narratives. Traditional methods like morphing often lack artistic appeal and require …

Despite the significant advancements made by Diffusion Transformer (DiT)-based methods
in video generation, there remains a notable gap with controllable camera pose …

Interactive image editing allows users to modify images through visual interaction operations
such as drawing, clicking, and dragging. Existing methods construct such supervision …

The field of AI-driven video generation is evolving rapidly, with remarkable advancements
achieved over the past two years. These developments have markedly enhanced the ability …