Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Jena, Rohit"'
Text-to-image (T2I) diffusion models have become prominent tools for generating high-fidelity images from text prompts. However, when trained on unfiltered internet data, these models can produce unsafe, incorrect, or stylistically undesirable images
Externí odkaz:
http://arxiv.org/abs/2409.06493
Classical optimization and learning-based methods are the two reigning paradigms in deformable image registration. While optimization-based methods boast generalizability across modalities and robust performance, learning-based methods promise peak p
Externí odkaz:
http://arxiv.org/abs/2408.05839
Deep Learning in Image Registration (DLIR) methods have been tremendously successful in image registration due to their speed and ability to incorporate weak label supervision at training time. However, DLIR methods forego many of the benefits of cla
Externí odkaz:
http://arxiv.org/abs/2406.07361
Deformable image registration (DIR) is crucial in medical image analysis, enabling the exploration of biological dynamics such as organ motions and longitudinal changes in imaging. Leveraging Neural Ordinary Differential Equations (ODE) for registrat
Externí odkaz:
http://arxiv.org/abs/2404.02106
Diffeomorphic Image Registration is a critical part of the analysis in various imaging modalities and downstream tasks like image translation, segmentation, and atlas building. Registration algorithms based on optimization have stood the test of time
Externí odkaz:
http://arxiv.org/abs/2404.01249
Coronary angiography is the gold standard imaging technique for studying and diagnosing coronary artery disease. However, the resulting 2D X-ray projections lose 3D information and exhibit visual ambiguities. In this work, we aim to establish dense c
Externí odkaz:
http://arxiv.org/abs/2312.11593
Autor:
Jena, Rohit, Iyer, Ganesh Subramanian, Choudhary, Siddharth, Smith, Brandon, Chaudhari, Pratik, Gee, James
We propose SplatArmor, a novel approach for recovering detailed and animatable human models by `armoring' a parameterized body model with 3D Gaussians. Our approach represents the human as a set of 3D Gaussians within a canonical space, whose articul
Externí odkaz:
http://arxiv.org/abs/2311.10812
Autor:
Jena, Rohit, Chaudhari, Pratik, Gee, James, Iyer, Ganesh, Choudhary, Siddharth, Smith, Brandon M.
Human reconstruction and synthesis from monocular RGB videos is a challenging problem due to clothing, occlusion, texture discontinuities and sharpness, and framespecific pose changes. Many methods employ deferred rendering, NeRFs and implicit method
Externí odkaz:
http://arxiv.org/abs/2303.08808
Autor:
Jena, Rohit, Zhornyak, Lukas, Doiphode, Nehal, Chaudhari, Pratik, Buch, Vivek, Gee, James, Shi, Jianbo
Correctness of instance segmentation constitutes counting the number of objects, correctly localizing all predictions and classifying each localized prediction. Average Precision is the de-facto metric used to measure all these constituents of segmen
Externí odkaz:
http://arxiv.org/abs/2207.01614
Vessel segmentation is an essential task in many clinical applications. Although supervised methods have achieved state-of-art performance, acquiring expert annotation is laborious and mostly limited for two-dimensional datasets with a small sample s
Externí odkaz:
http://arxiv.org/abs/2101.05145