activity
20192025
most citedPose Graph Optimization for Unsupervised Monocular Visual Odometry

10 citations · 26 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.CV2024

PhyCAGE: Physically Plausible Compositional 3D Asset Generation from a Single Image

Han Yan, Mingrui Zhang, Yang Li +2

We present PhyCAGE, the first approach for physically plausible compositional 3D asset generation from a single image. Given an input image, we first generate consistent multi-view…

cs.CV2024

Prim2Room: Layout-Controllable Room Mesh Generation from Primitives

Chengzeng Feng, Jiacheng Wei, Cheng Chen +5

We propose Prim2Room, a novel framework for controllable room mesh generation leveraging 2D layout conditions and 3D primitive retrieval to facilitate precise 3D layout specificati…

cs.CV2024★ 3 cited

Sketch2Scene: Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches

Yongzhi Xu, Yonhon Ng, Yifu Wang +6

3D Content Generation is at the heart of many computer graphics applications, including video gaming, film-making, virtual and augmented reality, etc. This paper proposes a novel d…

cs.CV2024★ 1 cited

LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image

Ruikai Cui, Xibin Song, Weixuan Sun +8

Large Reconstruction Models have made significant strides in the realm of automated 3D content generation from single or multiple input images. Despite their success, these models…

cs.CV2024

NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation

Ruikai Cui, Weizhe Liu, Weixuan Sun +9

3D shape generation aims to produce innovative 3D content adhering to specific conditions and constraints. Existing methods often decompose 3D shapes into a sequence of localized c…

cs.CV2024★ 9 cited

Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane

Han Yan, Yang Li, Zhennan Wu +9

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, unified 3D s…

cs.CV2024★ 3 cited

BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation

Zhennan Wu, Yang Li, Han Yan +8

We present BlockFusion, a diffusion-based model that generates 3D scenes as unit blocks and seamlessly incorporates new blocks to extend the scene. BlockFusion is trained using dat…