Search Results for author:
Found 6 papers, 2 papers with code
GraspDiffusion: Synthesizing Realistic Whole-body Hand-Object Interaction
In this paper, we propose GraspDiffusion, a novel generative method that creates realistic scenes of human-object interaction.
Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models
To construct the distribution, we present a novel pipeline that synthesizes diverse and realistic 3D HOI samples given any 3D object mesh.
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
We propose a 3D generation pipeline that uses diffusion models to generate realistic human digital avatars.
LPMM: Intuitive Pose Control for Neural Talking-Head Model via Landmark-Parameter Morphable Model
To enable this, we introduce a landmark-parameter morphable model (LPMM), which offers control over the facial landmark domain through a set of semantic parameters.
Interactive Cartoonization with Controllable Perceptual Factors
In the texture decoder, we propose a texture controller, which enables a user to control stroke style and abstraction to generate diverse cartoon textures.
KoDF: A Large-scale Korean DeepFake Detection Dataset
A variety of effective face-swap and face-reenactment methods have been publicized in recent years, democratizing the face synthesis technology to a great extent.
