activity
20192026
most citedNerfstudio: A Modular Framework for Neural Radiance Field Development

580 citations · 586 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

DuoMo: Dual Motion Diffusion for World-Space Human Reconstruction

Yufu Wang, Evonne Ng, Soyong Shin +8

We present DuoMo, a generative method that recovers human motion in world-space coordinates from unconstrained videos with noisy or incomplete observations. Reconstructing such mot…

cs.CV2026

SARAH: Spatially Aware Real-time Agentic Humans

Evonne Ng, Siwei Zhang, Zhang Chen +2

As embodied agents become central to VR, telepresence, and digital human applications, their motion must go beyond speech-aligned gestures: agents should turn toward users, respond…

cs.CV2024

Pose Priors from Language Models

Sanjay Subramanian, Evonne Ng, Lea Müller +3

Language is often used to describe physical interaction, yet most 3D human pose estimation methods overlook this rich source of information. We bridge this gap by leveraging large…

cs.CV2024

From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Evonne Ng, Javier Romero, Timur Bagautdinov +4

We present a framework for generating full-bodied photorealistic avatars that gesture according to the conversational dynamics of a dyadic interaction. Given speech audio, we outpu…

cs.CV2023★ 1 cited

Can Language Models Learn to Listen?

Evonne Ng, Sanjay Subramanian, Dan Klein +3

We present a framework for generating appropriate facial responses from a listener in dyadic social interactions based on the speaker's words. Given an input transcription of the s…

cs.CV2023★ 580 cited

Nerfstudio: A Modular Framework for Neural Radiance Field Development

Matthew Tancik, Ethan Weber, Evonne Ng +10

Neural Radiance Fields (NeRF) are a rapidly growing area of research with wide-ranging applications in computer vision, graphics, robotics, and more. In order to streamline the dev…

cs.CV2022★ 3 cited

Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion

Evonne Ng, Hanbyul Joo, Liwen Hu +4

We present a framework for modeling interactional communication in dyadic conversations: given multimodal inputs of a speaker, we autoregressively output multiple possibilities of…

cs.CV2021★ 2 cited

Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion

Shruti Agarwal, Liwen Hu, Evonne Ng +3

In today's era of digital misinformation, we are increasingly faced with new threats posed by video falsification techniques. Such falsifications range from cheapfakes (e.g., looka…

cs.CV2020

Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics

Evonne Ng, Shiry Ginosar, Trevor Darrell +1

We propose a novel learned deep prior of body motion for 3D hand shape synthesis and estimation in the domain of conversational gestures. Our model builds upon the insight that bod…

cs.CV2019

You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions

Evonne Ng, Donglai Xiang, Hanbyul Joo +1

The body pose of a person wearing a camera is of great interest for applications in augmented reality, healthcare, and robotics, yet much of the person's body is out of view for a…