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20232026
most citedEfficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit Fields

9 citations · 14 across the 14 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

MedTet: An Online Motion Model for 4D Heart Reconstruction

Yihong Chen, Jiancheng Yang, Deniz Sayin Mercadier +2

We present a novel approach to reconstruction of 3D cardiac motion from sparse intraoperative data. While existing methods can accurately reconstruct 3D organ geometries from full…

cs.CV2024★ 1 cited

Real-time Free-view Human Rendering from Sparse-view RGB Videos using Double Unprojected Textures

Guoxing Sun, Rishabh Dabral, Heming Zhu +3

Real-time free-view human rendering from sparse-view RGB inputs is a challenging task due to the sensor scarcity and the tight time budget. To ensure efficiency, recent methods lev…

cs.CV2024

A Latent Implicit 3D Shape Model for Multiple Levels of Detail

Benoit Guillard, Marc Habermann, Christian Theobalt +1

Implicit neural representations map a shape-specific latent code and a 3D coordinate to its corresponding signed distance (SDF) value. However, this approach only offers a single l…

cs.AI2024

DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection

Sihan Shang, Jiancheng Yang, Zhenglong Sun +1

In the realm of healthcare, the challenges of copyright protection and unauthorized third-party misuse are increasingly significant. Traditional methods for data copyright protecti…

cs.CV2024

MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering

Guoxing Sun, Rishabh Dabral, Pascal Fua +2

Faithful human performance capture and free-view rendering from sparse RGB observations is a long-standing problem in Vision and Graphics. The main challenges are the lack of obser…

eess.IV2024★ 4 cited

LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models

Hantao Zhang, Yuhe Liu, Jiancheng Yang +4

Patient data from real-world clinical practice often suffers from data scarcity and long-tail imbalances, leading to biased outcomes or algorithmic unfairness. This study addresses…