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20232025
most citedProbing the 3D Awareness of Visual Foundation Models

1 citations · 3 across the 12 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

ICE-G: Image Conditional Editing of 3D Gaussian Splats

Vishnu Jaganathan, Hannah Hanyun Huang, Muhammad Zubair Irshad +3

Recently many techniques have emerged to create high quality 3D assets and scenes. When it comes to editing of these objects, however, existing approaches are either slow, compromi…

cs.CV2024★ 1 cited

Probing the 3D Awareness of Visual Foundation Models

Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis +7

Recent advances in large-scale pretraining have yielded visual foundation models with strong capabilities. Not only can recent models generalize to arbitrary images for their train…

cs.CV2024

3D Congealing: 3D-Aware Image Alignment in the Wild

Yunzhi Zhang, Zizhang Li, Amit Raj +5

We propose 3D Congealing, a novel problem of 3D-aware alignment for 2D images capturing semantically similar objects. Given a collection of unlabeled Internet images, our goal is t…

cs.CV2024

MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space

Armand Comas-Massagué, Di Qiu, Menglei Chai +9

We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization. Central to our approach are…

cs.CV2024★ 1 cited

WordRobe: Text-Guided Generation of Textured 3D Garments

Astitva Srivastava, Pranav Manu, Amit Raj +2

In this paper, we tackle a new and challenging problem of text-driven generation of 3D garments with high-quality textures. We propose "WordRobe", a novel framework for the generat…

cs.CV2024

Dress-Me-Up: A Dataset & Method for Self-Supervised 3D Garment Retargeting

Shanthika Naik, Kunwar Singh, Astitva Srivastava +4

We propose a novel self-supervised framework for retargeting non-parameterized 3D garments onto 3D human avatars of arbitrary shapes and poses, enabling 3D virtual try-on (VTON). E…

cs.CV2024

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild

Andreas Engelhardt, Amit Raj, Mark Boss +8

We present SHINOBI, an end-to-end framework for the reconstruction of shape, material, and illumination from object images captured with varying lighting, pose, and background. Inv…