1 citations · 1 across the 4 of their papers we have counts for
4 papers
COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models
Divyanshu Daiya, Damon Conover, Aniket Bera
We propose a novel framework COLLAGE for generating collaborative agent-object-agent interactions by leveraging large language models (LLMs) and hierarchical motion-specific vector…
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
Vineet Punyamoorty, Pascal Jutras-Dubé, Ruqi Zhang +3
By framing reinforcement learning as a sequence modeling problem, recent work has enabled the use of generative models, such as diffusion models, for planning. While these models a…
Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM
Phu Pham, Dipam Patel, Damon Conover +1
We introduce Go-SLAM, a novel framework that utilizes 3D Gaussian Splatting SLAM to reconstruct dynamic environments while embedding object-level information within the scene repre…
MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification
Phu Pham, Aradhya N. Mathur, Ojaswa Sharma +1
The field of text-to-3D content generation has made significant progress in generating realistic 3D objects, with existing methodologies like Score Distillation Sampling (SDS) offe…