As information exists in various modalities in real world, effective interaction and fusion
among multimodal information plays a key role for the creation and perception of multimodal …

The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

Accurate and controllable image editing is a challenging task that has attracted significant
attention recently. Notably DragGAN developed by Pan et al.(2023) is an interactive point …

Despite the ability of existing large-scale text-to-image (T2I) models to generate high-quality
images from detailed textual descriptions, they often lack the ability to precisely edit the …

We present an interactive visual framework named InternGPT, or iGPT for short. The
framework integrates chatbots that have planning and reasoning capabilities, such as …

We introduce Motion-I2V, a novel framework for consistent and controllable text-guided
image-to-video generation (I2V). In contrast to previous methods that directly learn the …

Prompt engineering is a technique that involves augmenting a large pre-trained model with
task-specific hints, known as prompts, to adapt the model to new tasks. Prompts can be …

We introduce DragAnything, which utilizes a entity representation to achieve motion control
for any object in controllable video generation. Comparison to existing motion control …

Denoising diffusion models have emerged as a powerful tool for various image generation
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …

Generative text-to-image models have gained great popularity among the public for their
powerful capability to generate high-quality images based on natural language prompts …