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Found 5 papers, 2 papers with code
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver
Motivated by a new and strong observation that this challenge can be remedied by a 3D-space local-grid search scheme in an ideal case, we propose a stage-wise approach, which combines the information flow from 2D-to-3D (3D bounding box proposal generation with a single 2D image) and 3D-to-2D (proposal verification by denoising with 3D-to-2D contexts) in a top-down manner.
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery
In this paper, we propose a pure transformer architecture named POoling aTtention TransformER (POTTER) for the HMR task from single images.
Ranked #34 on
3D Human Pose Estimation
on 3DPW
DiffMesh: A Motion-aware Diffusion-like Framework for Human Mesh Recovery from Videos
While image-based HMR methods have achieved impressive results, they often struggle to recover humans in dynamic scenarios, leading to temporal inconsistencies and non-smooth 3D motion predictions due to the absence of human motion.
Ranked #57 on
3D Human Pose Estimation
on 3DPW
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection
It presents the MonoCon method which learns Monocular Contexts, as auxiliary tasks in training, to help monocular 3D object detection.
Ranked #5 on
Monocular 3D Object Detection
on KITTI Cars Moderate
Toward Effective Automated Content Analysis via Crowdsourcing
For subjective features such as semantic connotation, online workers, known for optimizing their hourly earnings, tend to deteriorate in the quality of their responses as they work longer.
