9 Real Product Demos of XCAT 3.0
XCAT 3.0
Personalized digital twins and respiratory motion phantoms for virtual imaging trials.
XCAT 3.0 provides a comprehensive library of over 2,500 computational phantoms derived from CT scans to simulate realistic patient anatomy. It utilizes deep learning segmentation and parametric modeling to create diverse, 4D digital twins for evaluating medical imaging technologies.
by XCAT
- 2,500+ computational phantoms
- Parametric respiratory motion modeling
- Deep learning-based anatomical segmentation
- Up to 140 segmented structures per phantom
- Voxelized and surface mesh formats
- Diverse demographic representation
- Automated quality control framework
- Interactive 4D motion visualization
- Virtual Imaging Trial (VIT) integration
9 clips
5:271:27Overview of the Wan2GP interface for Multi-TalkThe creator walks through the Wan2GP Gradio interface, explaining how to select the Multi-Talk model and the specific 'Vase Multi-Talk Fusion X' version for better performance on low VRAM.XCAT 3.0 · Wan- 8:224:37Generate talking head video from image and audioThe user demonstrates uploading a reference image and an audio clip to Multi-Talk, configuring background removal and text prompts to generate a video of a woman speaking in a park.XCAT 3.0 · Wan
- 13:571:32Simulate angry expressions with Multi-TalkThe demo shows how to use an angry reference image and matching audio to generate a highly expressive video that captures the pitch and intensity of the speaker's anger.XCAT 3.0 · Wan
- 15:291:10Animate sad emotions and cryingThe creator demonstrates Multi-Talk's ability to handle complex emotions by animating a sad character who pauses and breathes in sync with a crying audio track.XCAT 3.0 · Wan
- 17:441:28Lip-syncing anime charactersA demonstration of applying Japanese audio to an anime still image, showing how the tool handles non-human characters and different languages.XCAT 3.0 · Wan
- 19:393:03Animate multiple speakers in a podcast sceneThe video shows how to configure Multi-Talk for two speakers by uploading an image of two people and two sequential audio clips, assigning voices based on their position in the frame.XCAT 3.0 · Wan
- 22:173:21Parallel multi-speaker animationThe user demonstrates a more advanced multi-speaker setup where two audio tracks are played in parallel to animate a conversation between two people in a single reference image.XCAT 3.0 · Wan
- 26:322:34Transfer human motion with VACE and Multi-TalkThe demo shows how to use a control video of a person dancing to drive the body movements of a reference image while simultaneously applying a Spanish lip-sync track.XCAT 3.0 · Wan
0:500:47Multi-person conversational video generationMultiTalk is shown animating a group image where two separate people interact and respond to each other using different audio tracks.XCAT 3.0