With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

When used maliciously, deepfake can pose detrimental implications to political and social
forces including reducing public trust in institutions, damaging the reputation of prominent …

Text-guided generative diffusion models unlock powerful image creation and editing tools.
Recent approaches that edit the content of footage while retaining structure require …

Image diffusion models, trained on massive image collections, have emerged as the most
versatile image generator model in terms of quality and diversity. They support inverting real …

Generating talking head videos through a face image and a piece of speech audio still
contains many challenges. ie, unnatural head movement, distorted expression, and identity …

Conditional image-to-video (cI2V) generation aims to synthesize a new plausible video
starting from an image (eg, a person's face) and a condition (eg, an action class label like …

Motions in a video primarily consist of camera motion, induced by camera movement, and
object motion, resulting from object movement. Accurate control of both camera and object …

Generating text-editable and pose-controllable character videos have an imperious demand
in creating various digital human. Nevertheless, this task has been restricted by the absence …

Generative AI has made significant strides in computer vision particularly in text-driven
image/video synthesis (T2I/T2V). Despite the notable advancements it remains challenging …

One-shot talking face generation should synthesize high visual quality facial videos with
reasonable animations of expression and head pose, and just utilize arbitrary driving audio …