Search Results for author: Mark Matthews

Found 5 papers, 0 papers with code

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

no code implementations1 Apr 2024 Armand Comas-Massagué, Di Qiu, Menglei Chai, Marcel Bühler, Amit Raj, Ruiqi Gao, Qiangeng Xu, Mark Matthews, Paulo Gotardo, Octavia Camps, Sergio Orts-Escolano, Thabo Beeler

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

Alchemist: Parametric Control of Material Properties with Diffusion Models

no code implementations5 Dec 2023 Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Fredo Durand, William T. Freeman, Mark Matthews

We propose a method to control material attributes of objects like roughness, metallic, albedo, and transparency in real images.

MELON: NeRF with Unposed Images in SO(3)

no code implementations14 Mar 2023 Axel Levy, Mark Matthews, Matan Sela, Gordon Wetzstein, Dmitry Lagun

Neural radiance fields enable novel-view synthesis and scene reconstruction with photorealistic quality from a few images, but require known and accurate camera poses.

Inverse Rendering Novel View Synthesis +1

CUF: Continuous Upsampling Filters

no code implementations CVPR 2023 Cristina Vasconcelos, Cengiz Oztireli, Mark Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi

Neural fields have rapidly been adopted for representing 3D signals, but their application to more classical 2D image-processing has been relatively limited.

Image Super-Resolution

LOLNeRF: Learn from One Look

no code implementations CVPR 2022 Daniel Rebain, Mark Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi

We present a method for learning a generative 3D model based on neural radiance fields, trained solely from data with only single views of each object.

Depth Estimation Depth Prediction +1

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