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Found 10 papers, 5 papers with code
3D-LFM: Lifting Foundation Model
The lifting of 3D structure and camera from 2D landmarks is at the cornerstone of the entire discipline of computer vision.
Ranked #1 on
3D Hand Pose Estimation
on H3WB
TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting
In doing so, our model is able to use spatiotemporal context to predict more accurate human poses without sacrificing efficiency.
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image
Inferring 3D object structures from a single image is an ill-posed task due to depth ambiguity and occlusion.
Flow supervision for Deformable NeRF
In this paper we present a new method for deformable NeRF that can directly use optical flow as supervision.
DyLiN: Making Light Field Networks Dynamic
Light Field Networks, the re-formulations of radiance fields to oriented rays, are magnitudes faster than their coordinate network counterparts, and provide higher fidelity with respect to representing 3D structures from 2D observations.
CoNFies: Controllable Neural Face Avatars
Neural Radiance Fields (NeRF) are compelling techniques for modeling dynamic 3D scenes from 2D image collections.
Instantaneous Physiological Estimation using Video Transformers
It outperformed both shallow and deep learning based methods for instantaneous respiration rate estimation.
The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation
Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic.
3D Human Pose, Shape and Texture from Low-Resolution Images and Videos
Two common approaches to deal with low-resolution images are applying super-resolution techniques to the input, which may result in unpleasant artifacts, or simply training one model for each resolution, which is impractical in many realistic applications.
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning
3D human shape and pose estimation from monocular images has been an active area of research in computer vision, having a substantial impact on the development of new applications, from activity recognition to creating virtual avatars.
Ranked #71 on
3D Human Pose Estimation
on MPI-INF-3DHP
