Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Nima Khademi"'
Publikováno v:
Muṭāli̒āt-i Mudīriyyat-i Gardishgarī, Vol 18, Iss 63, Pp 41-72 (2023)
Local event tourism is one of the types of tourism that can play an essential role in the sustainable economic and social development of communities. However, this issue has received less attention. Meymand Fars Flower and Rose Festival is one of the
Externí odkaz:
https://doaj.org/article/577d8b61964544b0b8726dfc990c8b31
In this paper, we present PanoDreamer, a novel method for producing a coherent 360$^\circ$ 3D scene from a single input image. Unlike existing methods that generate the scene sequentially, we frame the problem as single-image panorama and depth estim
Externí odkaz:
http://arxiv.org/abs/2412.04827
Autor:
Zeng, Libing, Kalantari, Nima Khademi
With the advances in generative adversarial networks (GANs) and neural rendering, 3D relightable face generation has received significant attention. Among the existing methods, a particularly successful technique uses an implicit lighting representat
Externí odkaz:
http://arxiv.org/abs/2411.12002
Autor:
Paliwal, Avinash, Ye, Wei, Xiong, Jinhui, Kotovenko, Dmytro, Ranjan, Rakesh, Chandra, Vikas, Kalantari, Nima Khademi
The field of 3D reconstruction from images has rapidly evolved in the past few years, first with the introduction of Neural Radiance Field (NeRF) and more recently with 3D Gaussian Splatting (3DGS). The latter provides a significant edge over NeRF in
Externí odkaz:
http://arxiv.org/abs/2403.19495
Publikováno v:
ACM Transactions on Graphics (ToG) 42,6 (2023) 1-9
In recent years, novel view synthesis from a single image has seen significant progress thanks to the rapid advancements in 3D scene representation and image inpainting techniques. While the current approaches are able to synthesize geometrically con
Externí odkaz:
http://arxiv.org/abs/2309.10689
Autor:
Zhou, Xilong, Hašan, Miloš, Deschaintre, Valentin, Guerrero, Paul, Hold-Geoffroy, Yannick, Sunkavalli, Kalyan, Kalantari, Nima Khademi
Publikováno v:
Siggraph 2023
Authoring high-quality digital materials is key to realism in 3D rendering. Previous generative models for materials have been trained exclusively on synthetic data; such data is limited in availability and has a visual gap to real materials. We circ
Externí odkaz:
http://arxiv.org/abs/2305.12296
In this paper, we propose an approach for view-time interpolation of stereo videos. Specifically, we build upon X-Fields that approximates an interpolatable mapping between the input coordinates and 2D RGB images using a convolutional decoder. Our ma
Externí odkaz:
http://arxiv.org/abs/2303.17181
In this paper, we propose an algorithm to interpolate between a pair of images of a dynamic scene. While in the past years significant progress in frame interpolation has been made, current approaches are not able to handle images with brightness and
Externí odkaz:
http://arxiv.org/abs/2209.13284
Publikováno v:
ACM Transactions on Graphics (SIGGRAPH Asia), 41 (6) 272:1-272:11, 2022
We propose a simple and practical approach for incorporating the effects of muscle inertia, which has been ignored by previous musculoskeletal simulators in both graphics and biomechanics. We approximate the inertia of the muscle by assuming that mus
Externí odkaz:
http://arxiv.org/abs/2202.02344
In this paper, we propose a learning-based approach for denoising raw videos captured under low lighting conditions. We propose to do this by first explicitly aligning the neighboring frames to the current frame using a convolutional neural network (
Externí odkaz:
http://arxiv.org/abs/2103.02861