Mononhr: Monocular neural human renderer
… In this regard, we propose Monocular Neural Human Renderer (MonoNHR), a novel … an
arbitrary human given only a single image. MonoNHR is the first method that (i) renders human …
arbitrary human given only a single image. MonoNHR is the first method that (i) renders human …
Generalizable Neural Human Renderer
… human rendering from monocular video without the need for test-time optimization for each
subject, we present the Generalizable Neural Human Renderer (… -based image rendering. …
subject, we present the Generalizable Neural Human Renderer (… -based image rendering. …
[PDF][PDF] One-shot Implicit Animatable Avatars with Model-based Priors* Supplemental Material
… from a single monocular input, we present qualitative results of MonoNHR and ELICIT on …
fields for human performance rendering. Conference on Neural Information Processing …
fields for human performance rendering. Conference on Neural Information Processing …
Sherf: Generalizable human nerf from a single image
… MonoNHR [15] addresses this gap by exploring novel view … of 3D humans, given multi-view
or monocular human videos. … The output is the human rendering in the target camera view Pt …
or monocular human videos. … The output is the human rendering in the target camera view Pt …
One-shot implicit animatable avatars with model-based priors
… MonoNHR [7] proposes a data-driven approach using … human-specific variant of neural
radiance field(NeRF), which supports free-view rendering of a moving character from monocular …
radiance field(NeRF), which supports free-view rendering of a moving character from monocular …
A comprehensive benchmark for neural human radiance fields
… for animatable and generalizable human body rendering from monocular videos. ie, a
generalizable HumanNeRF. We hope our studies and benchmarks could benefit future works. …
generalizable HumanNeRF. We hope our studies and benchmarks could benefit future works. …
Gauhuman: Articulated gaussian splatting from monocular human videos
… is to learn 3D human performers with fast training and rendering from monocular videos.
We … Mononhr: Monocular neural human renderer. In 2022 International Conference on 3D …
We … Mononhr: Monocular neural human renderer. In 2022 International Conference on 3D …
Handnerf: Learning to reconstruct hand-object interaction scene from a single rgb image
… Our method and MonoNHR [16] both use 3D CNNs to encode … Frankmocap: A monocular
3d whole-body pose estimation … H-nerf: Neural radiance fields for rendering and temporal …
3d whole-body pose estimation … H-nerf: Neural radiance fields for rendering and temporal …
Temporal residual neural radiance fields for monocular video dynamic human body reconstruction
T Du, J Wang, X Xie, W Li, P Su… - Journal of Electronic …, 2024 - spiedigitallibrary.org
… With the aid of TRes-NeRF, we successfully completed the reconstruction of monocular
videos at an exceptionally high rendering speed while maintaining the quality of the …
videos at an exceptionally high rendering speed while maintaining the quality of the …
iVS-Net: Learning Human View Synthesis from Internet Videos
… a generalizable human radiance field from monocular videos. … the 3D human model, which
is represented as the neural … human model from images, we leverage volume rendering to …
is represented as the neural … human model from images, we leverage volume rendering to …