Skip to content
RobotWorld
← Back

Argus: metric panoramic 3D reconstruction for indoor scenes

Loading video
Loading video

A feed-forward network reconstructs complete metric-scale indoor 3D scenes from sparse unordered panoramic images using learned covisibility-based reference selection and geometry-aware multi-task prediction. Paper, code, model, and dataset are open.

3D重建3D reconstruction全景panoramicArgusRealsee室内indoorresearchTwitter
Category: research
Author: @Almorgand
Date: 2026-07-23T00:00:00
Duration: 20.166s
Source: https://x.com/Almorgand/status/2080359178804048141
Reference: https://argus-paper.realsee.ai

Related Videos

Lumera turns an image into an editable UE5 world with meshes, lights, and layouts
3:53

Lumera turns an image into an editable UE5 world with meshes, lights, and layouts

@HaoZhao_AIRSUN · 194 views · 2026-08-29
3D重建3D reconstructionUnreal Engine
Neural Harmonic Textures: Real-Time Novel View Synthesis
0:36

Neural Harmonic Textures: Real-Time Novel View Synthesis

@Arcanous98 · 20 views · 2026-04-09
新视角合成novel view synthesis3DGS
Why Reward-Based RL Is Extremely Sample Inefficient
0:06

Why Reward-Based RL Is Extremely Sample Inefficient

@cybernetic_lab · 9 views · 2026-07-31
强化学习reinforcement learningsample efficiency
GEN-1: robots swap end effectors for physical reasoning
2:30

GEN-1: robots swap end effectors for physical reasoning

@GeneralistAI · 12 views · 2026-07-23
GEN-1末端执行器end effector
FLUX 3: Black Forest Labs launches real world model
0:46

FLUX 3: Black Forest Labs launches real world model

@shao__meng · 16 views · 2026-07-24
FLUX 3Black Forest Labs世界模型
Astribot releases Lumo-2 World-Action Model
0:39

Astribot releases Lumo-2 World-Action Model

@LeoKharon · 10 views · 2026-07-23
世界动作模型WAMLumo-2