Significant advancements have been made in developing parametric models ...
We have recently seen tremendous progress in diffusion advances for
gene...
The success of the Neural Radiance Fields (NeRFs) for modeling and free-...
Convenient 4D modeling of human-object interactions is essential for num...
Motion capture is a long-standing research problem. Although it has been...
High-resolution heterogeneous reconstruction of 3D structures of protein...
We present SLOPER4D, a novel scene-aware dataset collected in large urba...
This paper presents an inverse kinematic optimization layer (IKOL) for 3...
Human modeling and relighting are two fundamental problems in computer v...
Humans constantly interact with objects in daily life tasks. Capturing s...
Recent years have witnessed the tremendous progress of 3D GANs for gener...
Depth estimation is usually ill-posed and ambiguous for monocular
camera...
LiDAR can capture accurate depth information in large-scale scenarios wi...
Motion capture from a monocular video is fundamental and crucial for us
...
Recent years have seen growing interest in 3D human faces modelling due ...
Inter-person occlusion and depth ambiguity make estimating the 3D poses ...
In this work, we propose NARRATE, a novel pipeline that enables
simultan...
We propose a multi-sensor fusion method for capturing challenging 3D hum...
Accurately detecting and tracking pedestrians in 3D space is challenging...
Existing motion capture datasets are largely short-range and cannot yet ...
Monocular 3D motion capture (mocap) is beneficial to many applications. ...
We propose Human-centered 4D Scene Capture (HSC4D) to accurately and
eff...
Existing neural reconstruction schemes such as Neural Radiance Field (Ne...
4D modeling of human-object interactions is critical for numerous
applic...
Some of the most exciting experiences that Metaverse promises to offer, ...
We, humans, are entering into a virtual era and indeed want to bring ani...
Production-level workflows for producing convincing 3D dynamic human fac...
Emerging Metaverse applications demand reliable, accurate, and photoreal...
Recent neural human representations can produce high-quality multi-view
...
Adaptive and flexible image editing is a desirable function of modern
ge...
Generating “bullet-time” effects of human free-viewpoint videos is criti...
4D reconstruction of human-object interaction is critical for immersive ...
Photo-realistic video portrait reenactment benefits virtual production a...
Recent neural rendering approaches for human activities achieve remarkab...
For collecting high-quality high-resolution (HR) MR image, we propose a ...
Hand modeling is critical for immersive VR/AR, action understanding, or ...
High-quality 4D reconstruction of human performance with complex interac...
Generating free-viewpoint videos is critical for immersive VR/AR experie...
Markerless motion capture and understanding of professional non-daily hu...
Photo-realistic neural reconstruction and rendering of the human portrai...
Photo-realistic modeling and rendering of fuzzy objects with complex opa...
Video portraits relighting is critical in user-facing human photography,...
We introduce GNeRF, a framework to marry Generative Adversarial Networks...
4D reconstruction and rendering of human activities is critical for imme...
Capturing challenging human motions is critical for numerous application...
3D instance segmentation, with a variety of applications in robotics and...
The high frame rate is a critical requirement for capturing fast human
m...
In this paper a binary feature based Loop Closure Detection (LCD) method...
Aiming at automatic, convenient and non-instrusive motion capture, this ...