Zobrazeno 1 - 10
of 835
pro vyhledávání: '"Mahdavi‐Amiri, A."'
We address the challenge of creating 3D assets for household articulated objects from a single image. Prior work on articulated object creation either requires multi-view multi-state input, or only allows coarse control over the generation process. T
Externí odkaz:
http://arxiv.org/abs/2410.16499
Autor:
Hamadi, Majed, Mahdavi-Amiri, Nezam
In applications, we often need to compute functions of matrices, such as banded matrices, the Kronecker sum of banded matrices, Toeplitz matrices, and many other types, which all share the common feature that their non-zero elements are concentrated
Externí odkaz:
http://arxiv.org/abs/2408.04128
Shape abstraction is an important task for simplifying complex geometric structures while retaining essential features. Sweep surfaces, commonly found in human-made objects, aid in this process by effectively capturing and representing object geometr
Externí odkaz:
http://arxiv.org/abs/2407.06305
Text-guided image generation enables the creation of visual content from textual descriptions. However, certain visual concepts cannot be effectively conveyed through language alone. This has sparked a renewed interest in utilizing the CLIP image emb
Externí odkaz:
http://arxiv.org/abs/2406.01300
We present a novel approach for single-image mesh texturing, which employs a diffusion model with judicious conditioning to seamlessly transfer an object's texture from a single RGB image to a given 3D mesh object. We do not assume that the two objec
Externí odkaz:
http://arxiv.org/abs/2405.17393
3D modeling of articulated objects is a research problem within computer vision, graphics, and robotics. Its objective is to understand the shape and motion of the articulated components, represent the geometry and mobility of object parts, and creat
Externí odkaz:
http://arxiv.org/abs/2403.14937
Object counting methods typically rely on manually annotated datasets. The cost of creating such datasets has restricted the versatility of these networks to count objects from specific classes (such as humans or penguins), and counting objects from
Externí odkaz:
http://arxiv.org/abs/2403.04943
We present AnaMoDiff, a novel diffusion-based method for 2D motion analogies that is applied to raw, unannotated videos of articulated characters. Our goal is to accurately transfer motions from a 2D driving video onto a source character, with its id
Externí odkaz:
http://arxiv.org/abs/2402.03549
We address the challenge of generating 3D articulated objects in a controllable fashion. Currently, modeling articulated 3D objects is either achieved through laborious manual authoring, or using methods from prior work that are hard to scale and con
Externí odkaz:
http://arxiv.org/abs/2312.09570
We introduce multi-slice reasoning, a new notion for single-view 3D reconstruction which challenges the current and prevailing belief that multi-view synthesis is the most natural conduit between single-view and 3D. Our key observation is that object
Externí odkaz:
http://arxiv.org/abs/2312.02221