Zobrazeno 1 - 10
of 274
pro vyhledávání: '"Li, Ruining"'
We present DreamHOI, a novel method for zero-shot synthesis of human-object interactions (HOIs), enabling a 3D human model to realistically interact with any given object based on a textual description. This task is complicated by the varying categor
Externí odkaz:
http://arxiv.org/abs/2409.08278
We present Puppet-Master, an interactive video generative model that can serve as a motion prior for part-level dynamics. At test time, given a single image and a sparse set of motion trajectories (i.e., drags), Puppet-Master can synthesize a video d
Externí odkaz:
http://arxiv.org/abs/2408.04631
We introduce DragAPart, a method that, given an image and a set of drags as input, generates a new image of the same object that responds to the action of the drags. Differently from prior works that focused on repositioning objects, DragAPart predic
Externí odkaz:
http://arxiv.org/abs/2403.15382
Autor:
Li, Zizhang, Litvak, Dor, Li, Ruining, Zhang, Yunzhi, Jakab, Tomas, Rupprecht, Christian, Wu, Shangzhe, Vedaldi, Andrea, Wu, Jiajun
Learning 3D models of all animals on the Earth requires massively scaling up existing solutions. With this ultimate goal in mind, we develop 3D-Fauna, an approach that learns a pan-category deformable 3D animal model for more than 100 animal species
Externí odkaz:
http://arxiv.org/abs/2401.02400
We present Farm3D, a method for learning category-specific 3D reconstructors for articulated objects, relying solely on "free" virtual supervision from a pre-trained 2D diffusion-based image generator. Recent approaches can learn a monocular network
Externí odkaz:
http://arxiv.org/abs/2304.10535
We consider the problem of predicting the 3D shape, articulation, viewpoint, texture, and lighting of an articulated animal like a horse given a single test image as input. We present a new method, dubbed MagicPony, that learns this predictor purely
Externí odkaz:
http://arxiv.org/abs/2211.12497
Autor:
Guan, Peng, Li, Ruining, Ding, Yifeng, Huang, Chenxi, Wang, Jia, Pan, Hui, Shao, Yanchun, Wang, Xiaohong
Publikováno v:
In Analytica Chimica Acta 15 November 2024 1329
Autor:
Wu, Xingxing, Gan, Zhicheng, Xu, Feng, Qian, Jingjing, Qian, Ming, Ai, Hao, Feng, Tingting, Lu, Xiaomin, Li, Ruining, Huang, Xianzhong
Publikováno v:
In Scientia Horticulturae 1 September 2024 335
Autor:
Kirk, Hannah Rose, Jun, Yennie, Rauba, Paulius, Wachtel, Gal, Li, Ruining, Bai, Xingjian, Broestl, Noah, Doff-Sotta, Martin, Shtedritski, Aleksandar, Asano, Yuki M.
Hateful memes pose a unique challenge for current machine learning systems because their message is derived from both text- and visual-modalities. To this effect, Facebook released the Hateful Memes Challenge, a dataset of memes with pre-extracted te
Externí odkaz:
http://arxiv.org/abs/2107.04313
Autor:
Xiao, Kaiyong, Cao, Huili, Liu, Liang, Yang, Bin, Dai, Huwei, Wang, Sirong, Li, Ruining, Wen, Zeyu, Lu, Zhaoshan, Xiao, Lian, Kang, Zhou, Feng, Hui
Publikováno v:
In The American Journal of Cardiology 15 January 2024 211:239-244