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 …
State of the art on 3D reconstruction with RGB‐D cameras
The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …
advancement of visual scene reconstruction methods. Both computer graphics and …
Tensor4d: Efficient neural 4d decomposition for high-fidelity dynamic reconstruction and rendering
We present Tensor4D, an efficient yet effective approach to dynamic scene modeling. The
key of our solution is an efficient 4D tensor decomposition method so that the dynamic scene …
key of our solution is an efficient 4D tensor decomposition method so that the dynamic scene …
Structured local radiance fields for human avatar modeling
It is extremely challenging to create an animatable clothed human avatar from RGB videos,
especially for loose clothes due to the difficulties in motion modeling. To address this …
especially for loose clothes due to the difficulties in motion modeling. To address this …
Function4d: Real-time human volumetric capture from very sparse consumer rgbd sensors
Human volumetric capture is a long-standing topic in computer vision and computer
graphics. Although high-quality results can be achieved using sophisticated off-line systems …
graphics. Although high-quality results can be achieved using sophisticated off-line systems …
Fourier plenoctrees for dynamic radiance field rendering in real-time
Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly
on modeling static objects captured under multi-view settings where real-time rendering can …
on modeling static objects captured under multi-view settings where real-time rendering can …
Humannerf: Efficiently generated human radiance field from sparse inputs
Recent neural human representations can produce high-quality multi-view rendering but
require using dense multi-view inputs and costly training. They are hence largely limited to …
require using dense multi-view inputs and costly training. They are hence largely limited to …
Pamir: Parametric model-conditioned implicit representation for image-based human reconstruction
Modeling 3D humans accurately and robustly from a single image is very challenging, and
the key for such an ill-posed problem is the 3D representation of the human models. To …
the key for such an ill-posed problem is the 3D representation of the human models. To …
Editable free-viewpoint video using a layered neural representation
Generating free-viewpoint videos is critical for immersive VR/AR experience, but recent
neural advances still lack the editing ability to manipulate the visual perception for large …
neural advances still lack the editing ability to manipulate the visual perception for large …
Deephuman: 3d human reconstruction from a single image
We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D
human reconstruction from a single RGB image. To reduce the ambiguities associated with …
human reconstruction from a single RGB image. To reduce the ambiguities associated with …