Human motion generation aims to generate natural human pose sequences and shows
immense potential for real-world applications. Substantial progress has been made recently …

We introduce SceneDiffuser, a conditional generative model for 3D scene understanding.
SceneDiffuser provides a unified model for solving scene-conditioned generation …

We address the problem of generating realistic 3D motions of humans interacting with
objects in a scene. Our key idea is to create a neural interaction field attached to a specific …

We have recently seen tremendous progress in diffusion advances for generating realistic
human motions. Yet, they largely disregard the multi-human interactions. In this paper, we …

This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …

We propose CG-HOI the first method to address the task of generating dynamic 3D human-
object interactions (HOIs) from text. We model the motion of both human and object in an …

We propose a new task to benchmark scene understanding of embodied agents: Situated
Question Answering in 3D Scenes (SQA3D). Given a scene context (eg, 3D scan), SQA3D …

Our goal is to synthesize 3D human motions given textual inputs describing simultaneous
actions, for examplewaving hand'whilewalking'at the same time. We refer to generating such …

Confronting the challenges of data scarcity and advanced motion synthesis in human-scene
interaction modeling we introduce the TRUMANS dataset alongside a novel HSI motion …

Can we synthesize 3D humans interacting with scenes without learning from any 3D human-
scene interaction data? We propose GenZI the first zero-shot approach to generating 3D …