11 papers
NeuROK: Generative 4D Neural Object Kinematics
Chen Geng, Guangzhao He, Yue Gao +3
Data-driven approaches have revolutionized 3D vision, enabling transformers to effectively reconstruct and generate static 3D objects. However, generating simulative 4D dynamics --…
RareSpot+: A Benchmark, Model, and Active Learning Framework for Small and Rare Wildlife in Aerial Imagery
Bowen Zhang, Jesse T. Boulerice, Charvi Mendiratta +4
Automated wildlife monitoring from aerial imagery is vital for conservation but remains limited by two persistent challenges: the difficulty of detecting small, rare species and th…
Choreographing a World of Dynamic Objects
Yanzhe Lyu, Chen Geng, Karthik Dharmarajan +4
Dynamic objects in our physical 4D (3D + time) world are constantly evolving, deforming, and interacting with other objects, leading to diverse 4D scene dynamics. In this paper, we…
Web-Scale Collection of Video Data for 4D Animal Reconstruction
Brian Nlong Zhao, Jiajun Wu, Shangzhe Wu
Computer vision for animals holds great promise for wildlife research but often depends on large-scale data, while existing collection methods rely on controlled capture setups. Re…
Anymate: A Dataset and Baselines for Learning 3D Object Rigging
Yufan Deng, Yuhao Zhang, Chen Geng +2
Rigging and skinning are essential steps to create realistic 3D animations, often requiring significant expertise and manual effort. Traditional attempts at automating these proces…
Birth and Death of a Rose
Chen Geng, Yunzhi Zhang, Shangzhe Wu +1
We study the problem of generating temporal object intrinsics -- temporally evolving sequences of object geometry, reflectance, and texture, such as a blooming rose -- from pre-tra…