2 citations · 2 across the 5 of their papers we have counts for
7 papers · 1 filter
SMG: Semantic Motion Graph for Monocular Dynamic Gaussian Splatting
Haozheng Yu, Xinyu Yang, Rundong Luo +2
We study dynamic Gaussian Splatting from monocular videos. While recent advancements in dynamic Gaussian splatting offer a promising foundation for modeling dynamic scenes, they of…
Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language Models
Guangzhao He, Rundong Luo, Wei-Chiu Ma +1
Inverse graphics is a longstanding and highly underconstrained problem that seeks to reconstruct images as editable 3D scenes which can be rendered, relit, and manipulated. In this…
Seeing Fast and Slow: Learning the Flow of Time in Videos
Yen-Siang Wu, Rundong Luo, Jingsen Zhu +6
How can we tell whether a video has been sped up or slowed down? How can we generate videos at different speeds? Although videos have been central to modern computer vision researc…
ShadowDraw: From Any Object to Shadow-Drawing Compositional Art
Rundong Luo, Noah Snavely, Wei-Chiu Ma
We introduce ShadowDraw, a framework that transforms ordinary 3D objects into shadow-drawing compositional art. Given a 3D object, our system predicts scene parameters, including o…
Beyond the Frame: Generating 360 Panoramic Videos from Perspective Videos
Rundong Luo, Matthew Wallingford, Ali Farhadi +2
360° videos have emerged as a promising medium to represent our dynamic visual world. Compared to the "tunnel vision" of standard cameras, their borderless field of view offers a m…
PhysPart: Physically Plausible Part Completion for Interactable Objects
Rundong Luo, Haoran Geng, Congyue Deng +5
Interactable objects are ubiquitous in our daily lives. Recent advances in 3D generative models make it possible to automate the modeling of these objects, benefiting a range of ap…