most citedARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections

10 citations · 17 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 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.CV20241 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

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…

cs.CV20231 cited

Diffusion Sampling with Momentum for Mitigating Divergence Artifacts

Suttisak Wizadwongsa, Worameth Chinchuthakun, Pramook Khungurn +2

Despite the remarkable success of diffusion models in image generation, slow sampling remains a persistent issue. To accelerate the sampling process, prior studies have reformulate…