7 papers · 1 filter
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 --…
ART: Articulated Reconstruction Transformer
Zizhang Li, Cheng Zhang, Zhengqin Li +7
We introduce ART, Articulated Reconstruction Transformer -- a category-agnostic, feed-forward model that reconstructs complete 3D articulated objects from only sparse, multi-state…
GenFusion: Feed-forward Human Performance Capture via Progressive Canonical Space Updates
Youngjoong Kwon, Yao He, Heejung Choi +4
We present a feed-forward human performance capture method that renders novel views of a performer from a monocular RGB stream. A key challenge in this setting is the lack of suffi…
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…
Coupled Diffusion Sampling for Training-Free Multi-View Image Editing
Hadi Alzayer, Yunzhi Zhang, Chen Geng +2
We present an inference-time diffusion sampling method to perform multi-view consistent image editing using pre-trained 2D image editing models. These models can independently prod…
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…