Graphdreamer: Compositional 3d scene synthesis from scene graphs
As pretrained text-to-image diffusion models become increasingly powerful recent efforts
have been made to distill knowledge from these text-to-image pretrained models for …
have been made to distill knowledge from these text-to-image pretrained models for …
Anyhome: Open-vocabulary generation of structured and textured 3d homes
Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text
into well-structured and textured indoor scenes at a house-scale. By prompting Large …
into well-structured and textured indoor scenes at a house-scale. By prompting Large …
Efficient diffusion models: A comprehensive survey from principles to practices
Z Ma, Y Zhang, G Jia, L Zhao, Y Ma, M Ma… - arxiv preprint arxiv …, 2024 - arxiv.org
As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …
models have sparked the interests of many researchers and steadily shown excellent …
Sg-bot: Object rearrangement via coarse-to-fine robotic imagination on scene graphs
Object rearrangement is pivotal in robotic-environment interactions, representing a
significant capability in embodied AI. In this paper, we present SG-Bot, a novel …
significant capability in embodied AI. In this paper, we present SG-Bot, a novel …
Physcene: Physically interactable 3d scene synthesis for embodied ai
With recent developments in Embodied Artificial Intelligence (EAI) research there has been
a growing demand for high-quality large-scale interactive scene generation. While prior …
a growing demand for high-quality large-scale interactive scene generation. While prior …
Secondpose: Se (3)-consistent dual-stream feature fusion for category-level pose estimation
Category-level object pose estimation aiming to predict the 6D pose and 3D size of objects
from known categories typically struggles with large intra-class shape variation. Existing …
from known categories typically struggles with large intra-class shape variation. Existing …
Diffuscene: Denoising diffusion models for generative indoor scene synthesis
We present DiffuScene for indoor 3D scene synthesis based on a novel scene configuration
denoising diffusion model. It generates 3D instance properties stored in an unordered object …
denoising diffusion model. It generates 3D instance properties stored in an unordered object …
Echoscene: Indoor scene generation via information echo over scene graph diffusion
We present EchoScene, an interactive and controllable generative model that generates 3D
indoor scenes on scene graphs. EchoScene leverages a dual-branch diffusion model that …
indoor scenes on scene graphs. EchoScene leverages a dual-branch diffusion model that …
Frankenstein: Generating semantic-compositional 3d scenes in one tri-plane
We present Frankenstein, a diffusion-based framework that can generate semantic-
compositional 3D scenes in a single pass. Unlike existing methods that output a single …
compositional 3D scenes in a single pass. Unlike existing methods that output a single …
Graph foundation models
Graph Foundation Model (GFM) is a new trending research topic in the graph domain,
aiming to develop a graph model capable of generalizing across different graphs and tasks …
aiming to develop a graph model capable of generalizing across different graphs and tasks …