Advances, challenges and opportunities in creating data for trustworthy AI
As artificial intelligence (AI) transitions from research to deployment, creating the appropriate
datasets and data pipelines to develop and evaluate AI models is increasingly the biggest …
datasets and data pipelines to develop and evaluate AI models is increasingly the biggest …
State of the art on neural rendering
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
Hexplane: A fast representation for dynamic scenes
Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
Headnerf: A real-time nerf-based parametric head model
In this paper, we propose HeadNeRF, a novel NeRF-based parametric head model that
integrates the neural radiance field to the parametric representation of the human head. It …
integrates the neural radiance field to the parametric representation of the human head. It …
Gan inversion: A survey
GAN inversion aims to invert a given image back into the latent space of a pretrained GAN
model so that the image can be faithfully reconstructed from the inverted code by the …
model so that the image can be faithfully reconstructed from the inverted code by the …
Emoca: Emotion driven monocular face capture and animation
As 3D facial avatars become more widely used for communication, it is critical that they
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …
Learning an animatable detailed 3D face model from in-the-wild images
While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …
they suffer several limitations. Some methods produce faces that cannot be realistically …
Neural head avatars from monocular rgb videos
Abstract We present Neural Head Avatars, a novel neural representation that explicitly
models the surface geometry and appearance of an animatable human avatar that can be …
models the surface geometry and appearance of an animatable human avatar that can be …
Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video
Abstract We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …
One-stage 3d whole-body mesh recovery with component aware transformer
Whole-body mesh recovery aims to estimate the 3D human body, face, and hands
parameters from a single image. It is challenging to perform this task with a single network …
parameters from a single image. It is challenging to perform this task with a single network …