Angjoo Kanazawa

research

∙ 09/14/2023

Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping

Grasping objects by a specific part is often crucial for safety and for ...

0 Adam Rashid, et al. ∙

research

∙ 08/21/2023

Can Language Models Learn to Listen?

We present a framework for generating appropriate facial responses from ...

0 Evonne Ng, et al. ∙

research

∙ 07/11/2023

Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives

Given a set of calibrated images of a scene, we present an approach that...

0 Tom Monnier, et al. ∙

research

∙ 06/15/2023

Generative Proxemics: A Prior for 3D Social Interaction from Images

Social interaction is a fundamental aspect of human behavior and communi...

0 Lea Müller, et al. ∙

research

∙ 05/31/2023

Humans in 4D: Reconstructing and Tracking Humans with Transformers

We present an approach to reconstruct humans and track them over time. A...

0 Shubham Goel, et al. ∙

research

∙ 05/08/2023

NerfAcc: Efficient Sampling Accelerates NeRFs

Optimizing and rendering Neural Radiance Fields is computationally expen...

0 Ruilong Li, et al. ∙

research

∙ 04/20/2023

Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs

Casually captured Neural Radiance Fields (NeRFs) suffer from artifacts s...

6 Frederik Warburg, et al. ∙

research

∙ 04/04/2023

Generating Continual Human Motion in Diverse 3D Scenes

We introduce a method to synthesize animator guided human motion across ...

0 Aymen Mir, et al. ∙

research

∙ 04/03/2023

On the Benefits of 3D Pose and Tracking for Human Action Recognition

In this work we study the benefits of using tracking and 3D poses for ac...

6 Jathushan Rajasegaran, et al. ∙

research

∙ 03/22/2023

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions

We propose a method for editing NeRF scenes with text-instructions. Give...

0 Ayaan Haque, et al. ∙

research

∙ 03/16/2023

LERF: Language Embedded Radiance Fields

Humans describe the physical world using natural language to refer to sp...

0 Justin Kerr, et al. ∙

research

∙ 02/24/2023

Decoupling Human and Camera Motion from Videos in the Wild

We propose a method to reconstruct global human trajectories from videos...

0 Vickie Ye, et al. ∙

research

∙ 02/08/2023

Nerfstudio: A Modular Framework for Neural Radiance Field Development

Neural Radiance Fields (NeRF) are a rapidly growing area of research wit...

0 Matthew Tancik, et al. ∙

research

∙ 01/24/2023

K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

We introduce k-planes, a white-box model for radiance fields in arbitrar...

2 Sara Fridovich-Keil, et al. ∙

research

∙ 10/24/2022

Monocular Dynamic View Synthesis: A Reality Check

We study the recent progress on dynamic view synthesis (DVS) from monocu...

0 Hang Gao, et al. ∙

research

∙ 10/10/2022

NerfAcc: A General NeRF Acceleration Toolbox

We propose NerfAcc, a toolbox for efficient volumetric rendering of radi...

0 Ruilong Li, et al. ∙

research

∙ 09/06/2022

Studying Bias in GANs through the Lens of Race

In this work, we study how the performance and evaluation of generative ...

24 Vongani H. Maluleke, et al. ∙

research

∙ 07/28/2022

The One Where They Reconstructed 3D Humans and Environments in TV Shows

TV shows depict a wide variety of human behaviors and have been studied ...

0 Georgios Pavlakos, et al. ∙

research

∙ 07/22/2022

InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images

We present a method for learning to generate unbounded flythrough videos...

0 Zhengqi Li, et al. ∙

research

∙ 06/21/2022

Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery

The ability to perceive 3D human bodies from a single image has a multit...

0 Zhenzhen Weng, et al. ∙

research

∙ 06/17/2022

TAVA: Template-free Animatable Volumetric Actors

Coordinate-based volumetric representations have the potential to genera...

0 Ruilong Li, et al. ∙

research

∙ 04/18/2022

Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion

We present a framework for modeling interactional communication in dyadi...

4 Evonne Ng, et al. ∙

research

∙ 04/14/2022

Deformable Sprites for Unsupervised Video Decomposition

We describe a method to extract persistent elements of a dynamic scene f...

0 Vickie Ye, et al. ∙

research

∙ 12/09/2021

Plenoxels: Radiance Fields without Neural Networks

We introduce Plenoxels (plenoptic voxels), a system for photorealistic v...

3 Alex Yu, et al. ∙

research

∙ 12/08/2021

Tracking People by Predicting 3D Appearance, Location Pose

In this paper, we present an approach for tracking people in monocular v...

10 Jathushan Rajasegaran, et al. ∙

research

∙ 11/15/2021

Tracking People with 3D Representations

We present a novel approach for tracking multiple people in video. Unlik...

5 Jathushan Rajasegaran, et al. ∙

research

∙ 04/22/2021

KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control

We introduce KeypointDeformer, a novel unsupervised method for shape con...

11 Tomas Jakab, et al. ∙

research

∙ 04/08/2021

De-rendering the World's Revolutionary Artefacts

Recent works have shown exciting results in unsupervised image de-render...

4 Shangzhe Wu, et al. ∙

research

∙ 04/05/2021

AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control

Synthesizing graceful and life-like behaviors for physically simulated c...

2 Xue Bin Peng, et al. ∙

research

∙ 03/25/2021

PlenOctrees for Real-time Rendering of Neural Radiance Fields

We introduce a method to render Neural Radiance Fields (NeRFs) in real t...

4 Alex Yu, et al. ∙

research

∙ 01/21/2021

Learn to Dance with AIST++: Music Conditioned 3D Dance Generation

In this paper, we present a transformer-based learning framework for 3D ...

0 Ruilong Li, et al. ∙

research

∙ 12/17/2020

Reconstructing Hand-Object Interactions in the Wild

In this work we explore reconstructing hand-object interactions in the w...

2 Zhe Cao, et al. ∙

research

∙ 12/17/2020

Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image

We introduce the problem of perpetual view generation – long-range gener...

0 Andrew Liu, et al. ∙

research

∙ 12/17/2020

Human Mesh Recovery from Multiple Shots

Videos from edited media like movies are a useful, yet under-explored so...

2 Georgios Pavlakos, et al. ∙

research

∙ 12/03/2020

pixelNeRF: Neural Radiance Fields from One or Few Images

We propose pixelNeRF, a learning framework that predicts a continuous ne...

3 Alex Yu, et al. ∙

research

∙ 07/30/2020

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

We present a method that infers spatial arrangements and shapes of human...

12 Jason Y. Zhang, et al. ∙

research

∙ 07/21/2020

Shape and Viewpoint without Keypoints

We present a learning framework that learns to recover the 3D shape, pos...

2 Shubham Goel, et al. ∙

research

∙ 06/25/2020

An Analysis of SVD for Deep Rotation Estimation

Symmetric orthogonalization via SVD, and closely related procedures, are...

6 Jake Levinson, et al. ∙

research

∙ 08/20/2019

Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"

We present the first method to perform automatic 3D pose, shape and text...

6 Silvia Zuffi, et al. ∙

research

∙ 08/13/2019

Predicting 3D Human Dynamics from Video

Given a video of a person in action, we can easily guess the 3D future m...

15 Jason Y. Zhang, et al. ∙

research

∙ 05/13/2019

PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

We introduce Pixel-aligned Implicit Function (PIFu), a highly effective ...

23 Shunsuke Saito, et al. ∙

research

∙ 12/04/2018

Learning 3D Human Dynamics from Video

From an image of a person in action, we can easily guess the 3D motion o...

0 Angjoo Kanazawa, et al. ∙

research

∙ 10/08/2018

SFV: Reinforcement Learning of Physical Skills from Videos

Data-driven character animation based on motion capture can produce high...

8 Xue Bin Peng, et al. ∙

research

∙ 10/01/2018

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

Adversarial learning methods have been proposed for a wide range of appl...

20 Xue Bin Peng, et al. ∙

research

∙ 03/20/2018

Learning Category-Specific Mesh Reconstruction from Image Collections

We present a learning framework for recovering the 3D shape, camera, and...

0 Angjoo Kanazawa, et al. ∙

research

∙ 12/18/2017

End-to-end Recovery of Human Shape and Pose

We describe Human Mesh Recovery (HMR), an end-to-end framework for recon...

0 Angjoo Kanazawa, et al. ∙

research

∙ 12/02/2017

SfSNet : Learning Shape, Reflectance and Illuminance of Faces in the Wild

We present SfSNet, an end-to-end learning framework for producing an acc...

0 Soumyadip Sengupta, et al. ∙

research

∙ 07/24/2017

Towards Accurate Markerless Human Shape and Pose Estimation over Time

Existing marker-less motion capture methods often assume known backgroun...

0 Yinghao Huang, et al. ∙

research

∙ 11/23/2016

3D Menagerie: Modeling the 3D shape and pose of animals

There has been significant work on learning realistic, articulated, 3D m...

0 Silvia Zuffi, et al. ∙

research

∙ 07/27/2016

Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

We describe the first method to automatically estimate the 3D pose of th...

0 Federica Bogo, et al. ∙

Angjoo Kanazawa

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