19 citations · 22 across the 3 of their papers we have counts for
12 papers · 1 filter
SuperGaussian: Repurposing Video Models for 3D Super Resolution
Yuan Shen, Duygu Ceylan, Paul Guerrero +4
We present a simple, modular, and generic method that upsamples coarse 3D models by adding geometric and appearance details. While generative 3D models now exist, they do not yet m…
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma +1
Creating high-quality and interactive virtual environments, such as games and simulators, often involves complex and costly manual modeling processes. In this paper, we present Vid…
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
Jing Wen, Xiaoming Zhao, Zhongzheng Ren +2
We introduce GoMAvatar, a novel approach for real-time, memory-efficient, high-quality animatable human modeling. GoMAvatar takes as input a single monocular video to create a digi…
Physical Property Understanding from Language-Embedded Feature Fields
Albert J. Zhai, Yuan Shen, Emily Y. Chen +5
Can computers perceive the physical properties of objects solely through vision? Research in cognitive science and vision science has shown that humans excel at identifying materia…
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects
Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan +2
Our world is full of identical objects (\emphe.g., cans of coke, cars of same model). These duplicates, when seen together, provide additional and strong cues for us to effectively…
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting
Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepulveda +6
Reconstructing an object from photos and placing it virtually in a new environment goes beyond the standard novel view synthesis task as the appearance of the object has to not onl…