Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Kim, Vladimir"'
Autor:
Chen, Qimin, Chen, Zhiqin, Kim, Vladimir G., Aigerman, Noam, Zhang, Hao, Chaudhuri, Siddhartha
We present a 3D modeling method which enables end-users to refine or detailize 3D shapes using machine learning, expanding the capabilities of AI-assisted 3D content creation. Given a coarse voxel shape (e.g., one produced with a simple box extrusion
Externí odkaz:
http://arxiv.org/abs/2409.06129
Publikováno v:
ACM Transactions on Computer-Human Interaction, 2024
Providing asynchronous feedback is a critical step in the 3D design workflow. A common approach to providing feedback is to pair textual comments with companion reference images, which helps illustrate the gist of text. Ideally, feedback providers sh
Externí odkaz:
http://arxiv.org/abs/2409.06082
We propose MeshUp, a technique that deforms a 3D mesh towards multiple target concepts, and intuitively controls the region where each concept is expressed. Conveniently, the concepts can be defined as either text queries, e.g., "a dog" and "a turtle
Externí odkaz:
http://arxiv.org/abs/2408.14899
Autor:
Muralikrishnan, Sanjeev, Dutt, Niladri Shekhar, Chaudhuri, Siddhartha, Aigerman, Noam, Kim, Vladimir, Fisher, Matthew, Mitra, Niloy J.
We introduce Temporal Residual Jacobians as a novel representation to enable data-driven motion transfer. Our approach does not assume access to any rigging or intermediate shape keyframes, produces geometrically and temporally consistent motions, an
Externí odkaz:
http://arxiv.org/abs/2407.14958
Autor:
Chen, Yun-Chun, Ling, Selena, Chen, Zhiqin, Kim, Vladimir G., Gadelha, Matheus, Jacobson, Alec
We propose a novel technique for adding geometric details to an input coarse 3D mesh guided by a text prompt. Our method is composed of three stages. First, we generate a single-view RGB image conditioned on the input coarse geometry and the input te
Externí odkaz:
http://arxiv.org/abs/2406.01592
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
Autor:
Ceylan, Duygu, Deschaintre, Valentin, Groueix, Thibault, Martin, Rosalie, Huang, Chun-Hao, Rouffet, Romain, Kim, Vladimir, Lassagne, Gaëtan
We present MatAtlas, a method for consistent text-guided 3D model texturing. Following recent progress we leverage a large scale text-to-image generation model (e.g., Stable Diffusion) as a prior to texture a 3D model. We carefully design an RGB text
Externí odkaz:
http://arxiv.org/abs/2404.02899
The recent developments in neural fields have brought phenomenal capabilities to the field of shape generation, but they lack crucial properties, such as incremental control - a fundamental requirement for artistic work. Triangular meshes, on the oth
Externí odkaz:
http://arxiv.org/abs/2403.02460
Autor:
Petrov, Dmitry, Goyal, Pradyumn, Thamizharasan, Vikas, Kim, Vladimir G., Gadelha, Matheus, Averkiou, Melinos, Chaudhuri, Siddhartha, Kalogerakis, Evangelos
We introduce GEM3D -- a new deep, topology-aware generative model of 3D shapes. The key ingredient of our method is a neural skeleton-based representation encoding information on both shape topology and geometry. Through a denoising diffusion probabi
Externí odkaz:
http://arxiv.org/abs/2402.16994
We present As-Plausible-as-Possible (APAP) mesh deformation technique that leverages 2D diffusion priors to preserve the plausibility of a mesh under user-controlled deformation. Our framework uses per-face Jacobians to represent mesh deformations, w
Externí odkaz:
http://arxiv.org/abs/2311.16739