CORTEXA
← Browse
arxivcs.CV2026-07-16

MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos

Ziren Gong, Xiaohan Li, Fabio Tosi, Ninghui Xu, Stefano Mattoccia, Jianfei Cai, Matteo Poggi

This paper presents MAGiSt3R, a multi-agent 3D reconstruction framework performing reconstruction and camera tracking for monocular RGB videos at almost 10 FPS. MAGiSt3R relies on a feed-forward model from the 3R family to process RGB videos and regress local point maps, and on a merging model, MAGMA, that combines local maps at both intra-agent and inter-agent levels to obtain the final global point map. Furthermore, MAGiSt3R performs pose graph optimization to mitigate cumulative camera drift occurring along the feed-forward pipeline. We evaluate MAGiSt3R on both synthetic and real-world datasets, demonstrating its superior reconstruction and camera tracking accuracy compared to state-of-the-art approaches.

View free PDFSource page

Related papers

arxivcs.CV2026-07-23

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation

Zhijing Yang, Haocheng Lin, Zhihua Xu, Haojie Li, Keze Wang, Liang Lin, et al.

Generating realistic interior furniture layouts that strictly adhere to architectural constraints (e.g., walls, doors, and windows) remains a fundamental challenge in automated spatial design. Existing approaches, primarily based on one-shot generation using diffusion models or L…

View free PDFSource page
arxivcs.CV2026-07-22

ATSplat: Compact Feed-forward 3D Gaussian Splatting with Adaptive Token Expansion

Cho In, Jeonghwan Cho, Mijin Yoo, Gim Hee Lee, Seon Joo Kim

3D Gaussian Splatting (3DGS) achieves high-quality novel-view synthesis by optimizing freely placed primitives in 3D and adaptively densifying them in under-reconstructed regions. However, this scene-adaptive capacity allocation is largely lost in existing feed-forward 3DGS metho…

View free PDFSource page
arxivcs.CV2026-07-23

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers

Sicheng Mo, Yuheng Li, Ziyang Leng, Krishna Kumar Singh, Bolei Zhou

Multi-agent interactive world models should not only generate consistent observations, but also maintain world states that persist across agents and evolve across views. Existing autoregressive video diffusion pipelines carry forward observation history as conditioning context, w…

View free PDFSource page
arxivcs.CV2026-07-24

AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment

Ziyao Huang, Shunkai Li, Juan Cao, Chenyu Li, Youliang Zhang, Zixiang Zhou, et al.

Recent advances in video diffusion models have spurred interest in human-object interaction (HOI) video generation, which demands fine-grained control over interaction logic beyond single-subject animation. However, existing HOI methods rely heavily on explicit motion control, li…

View free PDFSource page
arxivcs.CV2026-07-23

WAT3R: Feedforward Underwater 3D Reconstruction

Jiayi Xu, Jiahao Lu, Ziqiang Zheng, Yihao Tan, Yaolong Zhu, Yuan Liu, et al.

Reliable feedforward underwater 3D reconstruction remains challenging due to severe light attenuation and backscattering, which degrade visual quality and disrupt feature consistency across views, leading to inaccurate multi-view geometry. To address this issue, we propose WAT3R,…

View free PDFSource page
arxivcs.CV2026-07-22

ETPDesigner: Multi-Agent Orchestration for Interactive Multimodal Electronic Theater Program

Mengtian Li, Xinru Guo, Xiaoru Lin, Xiao Rong, Zhifeng Xie, Chaofeng Chen

Electronic Theater Programs (ETPs) serve as critical promotional media in the performing arts, comprising a multi-page collection of heterogeneous visual assets such as theatrical posters, performance details, and character portraits. However, existing text-to-image paradigms str…

View free PDFSource page