activity
20232026
most citedLAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Image

1 citations · 4 across the 13 of their papers we have counts for

collaborators

13 papers

cs.RO2026

Video2DoorTraversal: Push Door Traversal via Simulated Door Twins

Xincheng Tang, Yiji Chen, Youhan Xie +8

Door opening and traversal is a long-horizon loco-manipulation task that requires precise handle interaction and coordinated base-arm control. We present Video2DoorTraversal, a sin…

cs.CV2026

P2Voxel: Pyramid Pivot Voxelization for 3D Mesh Tokenization

Zhenhong Sun, Haozhe Liu, Yifu Wang +6

Triangle meshes provide explicit and accurate surface geometry, yet their irregular topology connectivity makes 3D mesh tokenization a geometric sampling problem: how to sample and…

cs.CV2026

ISAP-3D: Identity-Slot Aligned Part-Aware 3D Generation

Junlin Hao, Haoshuai Fu, Xibin Song +4

Part-aware 3D generation aims to synthesize structured objects with semantically meaningful components, yet often suffers from structural ambiguity due to identity-layout entanglem…

cs.CV2026

Robust Dreamer: Deviation-Aware Latent Gaussian Memory for Action-Controlled AR Video Generation

Hanlin Chen, Jiaxin Wei, Xibin Song +5

Frame-wise action-controlled image-to-video generation is a promising paradigm for interactive world simulation, where each control signal should elicit an immediate visual respons…

cs.CV2026

I3DM: Implicit 3D-aware Memory Retrieval and Injection for Consistent Video Scene Generation

Jia Li, Han Yan, Yihang Chen +6

Despite remarkable progress in video generation, maintaining long-term scene consistency upon revisiting previously explored areas remains challenging. Existing solutions rely eith…

cs.CV2025

BachVid: Training-Free Video Generation with Consistent Background and Character

Han Yan, Xibin Song, Yifu Wang +3

Diffusion Transformers (DiTs) have recently driven significant progress in text-to-video (T2V) generation. However, generating multiple videos with consistent characters and backgr…

cs.CV2025★ 1 cited

CDI3D: Cross-guided Dense-view Interpolation for 3D Reconstruction

Zhiyuan Wu, Xibin Song, Senbo Wang +8

3D object reconstruction from single-view image is a fundamental task in computer vision with wide-ranging applications. Recent advancements in Large Reconstruction Models (LRMs) h…

cs.GR2025★ 1 cited

Pandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generation

Jiayu Yang, Taizhang Shang, Weixuan Sun +7

This report presents a comprehensive framework for generating high-quality 3D shapes and textures from diverse input prompts, including single images, multi-view images, and text d…

cs.CV2025★ 1 cited

MARS: Mesh AutoRegressive Model for 3D Shape Detailization

Jingnan Gao, Weizhe Liu, Weixuan Sun +8

State-of-the-art methods for mesh detailization predominantly utilize Generative Adversarial Networks (GANs) to generate detailed meshes from coarse ones. These methods typically l…

cs.CV2025

BAG: Body-Aligned 3D Wearable Asset Generation

Zhongjin Luo, Yang Li, Mingrui Zhang +8

While recent advancements have shown remarkable progress in general 3D shape generation models, the challenge of leveraging these approaches to automatically generate wearable 3D a…

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.CV2023

RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery

Jiaxin Wei, Xibin Song, Weizhe Liu +3

While showing promising results, recent RGB-D camera-based category-level object pose estimation methods have restricted applications due to the heavy reliance on depth sensors. RG…