The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

Text-guided diffusion models have revolutionized image and video generation and have
also been successfully used for optimization-based 3D object synthesis. Here we instead …

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 …

Prompt engineering is a technique that involves augmenting a large pre-trained model with
task-specific hints, known as prompts, to adapt the model to new tasks. Prompts can be …

Synthesizing semantic-aware, long-horizon, human-object interaction is critical to simulate
realistic human behaviors. In this work, we address the challenging problem of generating …

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 present TeSMo, a text-controlled scene-aware motion generation method based on
denoising diffusion models. Previous text-to-motion methods focus on characters in isolation …

Aided by text-to-image and text-to-video diffusion models, existing 4D content creation
pipelines utilize score distillation sampling to optimize the entire dynamic 3D scene …

We present a novel approach named OmniControl for incorporating flexible spatial control
signals into a text-conditioned human motion generation model based on the diffusion …

We propose TRAM, a two-stage method to reconstruct a human's global trajectory and
motion from in-the-wild videos. TRAM robustifies SLAM to recover the camera motion in the …