most citedExplorable Mesh Deformation Subspaces from Unstructured Generative Models

10 citations · 12 across the 6 of their papers we have counts for

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cs.CV2024

Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects

Amir Barda, Matheus Gadelha, Vladimir G. Kim +3

We propose a generative technique to edit 3D shapes, represented as meshes, NeRFs, or Gaussian Splats, in approximately 3 seconds, without the need for running an SDS type of optim…

cs.CV2024

Temporal Residual Jacobians For Rig-free Motion Transfer

Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri +4

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 k…

cs.CV2024

TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations

Bo Sun, Thibault Groueix, Chen Song +2

This work proposes a novel representation of injective deformations of 3D space, which overcomes existing limitations of injective methods: inaccuracy, lack of robustness, and inco…

cs.CV2023

Neural Progressive Meshes

Yun-Chun Chen, Vladimir G. Kim, Noam Aigerman +1

The recent proliferation of 3D content that can be consumed on hand-held devices necessitates efficient tools for transmitting large geometric data, e.g., 3D meshes, over the Inter…

cs.CV2023

TextDeformer: Geometry Manipulation using Text Guidance

William Gao, Noam Aigerman, Thibault Groueix +2

We present a technique for automatically producing a deformation of an input triangle mesh, guided solely by a text prompt. Our framework is capable of deformations that produce bo…

cs.CV20222 cited

PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation

Bo Sun, Vladimir G. Kim, Noam Aigerman +2

This paper introduces a data-driven shape completion approach that focuses on completing geometric details of missing regions of 3D shapes. We observe that existing generative meth…