Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Ritchie, Daniel"'
We design a system that learns how to edit visual programs. Our edit network consumes a complete input program and a visual target. From this input, we task our network with predicting a local edit operation that could be applied to the input program
Externí odkaz:
http://arxiv.org/abs/2406.02383
The ability to edit 3D assets from natural language presents a compelling paradigm to aid in the democratization of 3D content creation. However, while natural language is often effective at communicating general intent, it is poorly suited for speci
Externí odkaz:
http://arxiv.org/abs/2405.20319
Editing 2D icon images can require significant manual effort from designers. It involves manipulating multiple geometries while maintaining the logical or physical coherence of the objects depicted in the image. Previous language driven image editing
Externí odkaz:
http://arxiv.org/abs/2405.19636
Autor:
Maesumi, Arman, Hu, Dylan, Saripalli, Krishi, Kim, Vladimir G., Fisher, Matthew, Pirk, Sören, Ritchie, Daniel
Procedural noise is a fundamental component of computer graphics pipelines, offering a flexible way to generate textures that exhibit "natural" random variation. Many different types of noise exist, each produced by a separate algorithm. In this pape
Externí odkaz:
http://arxiv.org/abs/2404.16292
People grasp flexible visual concepts from a few examples. We explore a neurosymbolic system that learns how to infer programs that capture visual concepts in a domain-general fashion. We introduce Template Programs: programmatic expressions from a d
Externí odkaz:
http://arxiv.org/abs/2403.15476
We introduce the Reality-linked 3D Scenes (R3DS) dataset of synthetic 3D scenes mirroring the real-world scene arrangements from Matterport3D panoramas. Compared to prior work, R3DS has more complete and densely populated scenes with objects linked t
Externí odkaz:
http://arxiv.org/abs/2403.12301
We present CharacterMixer, a system for blending two rigged 3D characters with different mesh and skeleton topologies while maintaining a rig throughout interpolation. CharacterMixer also enables interpolation during motion for such characters, a nov
Externí odkaz:
http://arxiv.org/abs/2402.15580
Autor:
Aguina-Kang, Rio, Gumin, Maxim, Han, Do Heon, Morris, Stewart, Yoo, Seung Jean, Ganeshan, Aditya, Jones, R. Kenny, Wei, Qiuhong Anna, Fu, Kailiang, Ritchie, Daniel
We present a system for generating indoor scenes in response to text prompts. The prompts are not limited to a fixed vocabulary of scene descriptions, and the objects in generated scenes are not restricted to a fixed set of object categories -- we ca
Externí odkaz:
http://arxiv.org/abs/2403.09675
Single-view 3D shape retrieval is a challenging task that is increasingly important with the growth of available 3D data. Prior work that has studied this task has not focused on evaluating how realistic occlusions impact performance, and how shape r
Externí odkaz:
http://arxiv.org/abs/2401.00405
Autor:
Maesumi, Arman, Guerrero, Paul, Kim, Vladimir G., Fisher, Matthew, Chaudhuri, Siddhartha, Aigerman, Noam, Ritchie, Daniel
Exploring variations of 3D shapes is a time-consuming process in traditional 3D modeling tools. Deep generative models of 3D shapes often feature continuous latent spaces that can, in principle, be used to explore potential variations starting from a
Externí odkaz:
http://arxiv.org/abs/2310.07814