Search Results for author: Shivam Duggal

Found 6 papers, 3 papers with code

Your Diffusion Model is Secretly a Zero-Shot Classifier

1 code implementation ICCV 2023 Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak

Our generative approach to classification, which we call Diffusion Classifier, attains strong results on a variety of benchmarks and outperforms alternative methods of extracting knowledge from diffusion models.

Domain Generalization Fine-Grained Image Classification +5

NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation

no code implementations12 Jun 2022 Trevor Houchens, Cheng-You Lu, Shivam Duggal, Rao Fu, Srinath Sridhar

We propose Omnidirectional Distance Fields (ODFs), a new 3D shape representation that encodes geometry by storing the depth to the object's surface from any 3D position in any viewing direction.

3D Shape Representation

Topologically-Aware Deformation Fields for Single-View 3D Reconstruction

1 code implementation CVPR 2022 Shivam Duggal, Deepak Pathak

The 3D shapes are generated implicitly as deformations to a category-specific signed distance field and are learned in an unsupervised manner solely from unaligned image collections and their poses without any 3D supervision.

3D Reconstruction Single-View 3D Reconstruction

Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild

no code implementations18 Jan 2021 Shivam Duggal, ZiHao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun

Reconstructing high-quality 3D objects from sparse, partial observations from a single view is of crucial importance for various applications in computer vision, robotics, and graphics.

3D Object Reconstruction

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