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Found 5 papers, 1 papers with code
ActAnywhere: Subject-Aware Video Background Generation
Generating video background that tailors to foreground subject motion is an important problem for the movie industry and visual effects community.
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models
Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path.
BLiSS: Bootstrapped Linear Shape Space
Morphable models are fundamental to numerous human-centered processes as they offer a simple yet expressive shape space.
Pix2Video: Video Editing using Image Diffusion
Our method works in two simple steps: first, we use a pre-trained structure-guided (e. g., depth) image diffusion model to perform text-guided edits on an anchor frame; then, in the key step, we progressively propagate the changes to the future frames via self-attention feature injection to adapt the core denoising step of the diffusion model.
Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images
We investigate the problem in the context of dressed humans under the wind.
