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 …
4d gaussian splatting for real-time dynamic scene rendering
Representing and rendering dynamic scenes has been an important but challenging task.
Especially to accurately model complex motions high efficiency is usually hard to guarantee …
Especially to accurately model complex motions high efficiency is usually hard to guarantee …
Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction
Implicit neural representation has paved the way for new approaches to dynamic scene
reconstruction. Nonetheless cutting-edge dynamic neural rendering methods rely heavily on …
reconstruction. Nonetheless cutting-edge dynamic neural rendering methods rely heavily on …
Dreamavatar: Text-and-shape guided 3d human avatar generation via diffusion models
We present DreamAvatar a text-and-shape guided framework for generating high-quality 3D
human avatars with controllable poses. While encouraging results have been reported by …
human avatars with controllable poses. While encouraging results have been reported by …
Humannerf: Free-viewpoint rendering of moving people from monocular video
We introduce a free-viewpoint rendering method--HumanNeRF--that works on a given
monocular video of a human performing complex body motions, eg a video from YouTube …
monocular video of a human performing complex body motions, eg a video from YouTube …
Humanrf: High-fidelity neural radiance fields for humans in motion
Representing human performance at high-fidelity is an essential building block in diverse
applications, such as film production, computer games or videoconferencing. To close the …
applications, such as film production, computer games or videoconferencing. To close the …
Robust dynamic radiance fields
Dynamic radiance field reconstruction methods aim to model the time-varying structure and
appearance of a dynamic scene. Existing methods, however, assume that accurate camera …
appearance of a dynamic scene. Existing methods, however, assume that accurate camera …
Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
Neural Radiance Fields (NeRF) are able to reconstruct scenes with unprecedented fidelity,
and various recent works have extended NeRF to handle dynamic scenes. A common …
and various recent works have extended NeRF to handle dynamic scenes. A common …
Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields
Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-
term quest. The task is especially appealing when only a few or even single RGB cameras …
term quest. The task is especially appealing when only a few or even single RGB cameras …