Search Results for author: Abhijit Kundu

Found 15 papers, 5 papers with code

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis

no code implementations14 Jul 2023 Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas Guibas

This interaction field guides the sampling of an object-conditioned human motion diffusion model, so as to encourage plausible contacts and affordance semantics.

Motion Synthesis valid

Learning a Diffusion Prior for NeRFs

no code implementations27 Apr 2023 Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole

Neural Radiance Fields (NeRFs) have emerged as a powerful neural 3D representation for objects and scenes derived from 2D data.

NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes

no code implementations16 Mar 2023 Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martin Arroyo, Michael Niemeyer, Abhijit Kundu, Federico Tombari

Obtaining 3D meshes from neural radiance fields still remains an open challenge since NeRFs are optimized for view synthesis, not enforcing an accurate underlying geometry on the radiance field.

Novel View Synthesis Surface Reconstruction

im2nerf: Image to Neural Radiance Field in the Wild

no code implementations8 Sep 2022 Lu Mi, Abhijit Kundu, David Ross, Frank Dellaert, Noah Snavely, Alireza Fathi

We take a step towards addressing this shortcoming by introducing a model that encodes the input image into a disentangled object representation that contains a code for object shape, a code for object appearance, and an estimated camera pose from which the object image is captured.

Novel View Synthesis Object

Learning 3D Semantic Segmentation with only 2D Image Supervision

no code implementations21 Oct 2021 Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, Thomas Funkhouser

With the recent growth of urban mapping and autonomous driving efforts, there has been an explosion of raw 3D data collected from terrestrial platforms with lidar scanners and color cameras.

3D Semantic Segmentation Autonomous Driving +1

Adversarial Texture Optimization from RGB-D Scans

1 code implementation CVPR 2020 Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas Guibas, Matthias Nießner, Thomas Funkhouser

In this work, we present a novel approach for color texture generation using a conditional adversarial loss obtained from weakly-supervised views.

Surface Reconstruction Texture Synthesis

3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare

no code implementations CVPR 2018 Abhijit Kundu, Yin Li, James M. Rehg

Our method produces a compact 3D representation of the scene, which can be readily used for applications like autonomous driving.

Ranked #3 on Vehicle Pose Estimation on KITTI Cars Hard (using extra training data)

3D Object Reconstruction Autonomous Driving +2

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