We introduce TADA, a simple-yet-effective approach that takes textual
de...
We present SCULPT, a novel 3D generative model for clothed and textured ...
Despite recent research advancements in reconstructing clothed humans fr...
We present CaPhy, a novel method for reconstructing animatable human ava...
We present DiffuScene for indoor 3D scene synthesis based on a novel sce...
Speech-driven 3D facial animation has been widely explored, with applica...
Generating realistic 3D worlds occupied by moving humans has many
applic...
We propose ClipFace, a novel self-supervised approach for text-guided ed...
We propose a novel method for high-quality facial texture reconstruction...
We present Depth-aware Image-based NEural Radiance fields (DINER). Given...
We present Instant Volumetric Head Avatars (INSTA), a novel approach for...
We present Neural Shape Deformation Priors, a novel method for shape
man...
Face reconstruction and tracking is a building block of numerous applica...
Texture cues on 3D objects are key to compelling visual representations,...
Humans are in constant contact with the world as they move through it an...
We present Neural Head Avatars, a novel neural representation that expli...
We introduce a method for egocentric videoconferencing that enables
hand...
We introduce TransformerFusion, a transformer-based 3D scene reconstruct...
In this work, we explore how to leverage the success of implicit novel v...
We present a novel method for temporal coherent reconstruction and track...
Parametric 3D models have enabled a wide variety of tasks in computer
gr...
3D reconstruction of large scenes is a challenging problem due to the
hi...
We present dynamic neural radiance fields for modeling the appearance an...
State-of-the-art DeepFake forgery detectors are trained in a supervised
...
We introduce Neural Deformation Graphs for globally-consistent deformati...
We present Face2Face, a novel approach for real-time facial reenactment ...
A central challenge in data visualization is to understand which data sa...
Neural rendering techniques promise efficient photo-realistic image synt...
We present SPSG, a novel approach to generate high-quality, colored 3D m...
We introduce a novel, end-to-end learnable, differentiable non-rigid tra...
Efficient rendering of photo-realistic virtual worlds is a long standing...
Realistic color texture generation is an important step in RGB-D surface...
We present Neural Voice Puppetry, a novel approach for audio-driven faci...
Thanks to the fast progress in synthetic media generation, creating real...
The modern computer graphics pipeline can synthesize images at remarkabl...
The rapid progress in synthetic image generation and manipulation has no...
Distinguishing fakes from real images is becoming increasingly difficult...
In this work, we address the lack of 3D understanding of generative neur...
We propose a new learning-based novel view synthesis approach for scanne...
We propose HeadOn, the first real-time source-to-target reenactment appr...
We present a novel approach that enables photo-realistic re-animation of...
With recent advances in computer vision and graphics, it is now possible...
We present IMU2Face, a gesture-driven facial reenactment system. To this...
We introduce InverseFaceNet, a deep convolutional inverse rendering fram...
We introduce FaceVR, a novel method for gaze-aware facial reenactment in...