Papers › SpatialBot: Precise Spatial Understanding with Vision Language Models

SpatialBot: Precise Spatial Understanding with Vision Language Models

19 Jun 2024arXiv:2406.13642archive 2025-07-28

Wenxiao Cai, Iaroslav Ponomarenko, Jianhao Yuan, Xiaoqi Li, Wankou Yang, Hao Dong, Bo Zhao

Vision Language Models (VLMs) have achieved impressive performance in 2D image understanding, however they are still struggling with spatial understanding which is the foundation of Embodied AI. In this paper, we propose SpatialBot for better spatial understanding by feeding both RGB and depth images. Additionally, we have constructed the SpatialQA dataset, which involves multi-level depth-related questions to train VLMs for depth understanding. Finally, we present SpatialBench to comprehensively evaluate VLMs' capabilities in spatial understanding at different levels. Extensive experiments on our spatial-understanding benchmark, general VLM benchmarks and Embodied AI tasks, demonstrate the remarkable improvements of SpatialBot trained on SpatialQA. The model, code and data are available at https://github.com/BAAI-DCAI/SpatialBot.

PaperPDFCodeCode Syntology ran

In Syntology Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.

For agents, Syntology's MCP tool lists every function and class Syntology harvested from this paper and whether it ran (how to connect): get_harvested_code_for_paper(arxiv_id="2406.13642")

Code

Syntology Ran 3 of 5 code samples harvested from 1 repository linked to this paper; 2 have no recorded run. Of those that ran: 1 ran · violated contract; 2 ran · our draft was wrong.

By repository: official repository: 5 samples from 1 repository, 3 ran. The run record, sample by sample. “Ran” means executed on a synthesized input, not that the code is correct or reproduces the paper.

baai-dcai/spatialbot officialmentioned in papermentioned on GitHubpytorchMIT report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

5 samples harvested; 3 ran; 0 honoured the contract we drafted; 2 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

1ran · violated contract
2ran · our draft was wrong
2unverified

Licence: 0 of the 5 samples are pointer only, meaning Syntology does not serve that copy's text. This page shows no code text for any sample; each one links to its file in the repository.

Harvested from baai-dcai/spatialbot. “Ran” means the sample executed on a synthesized input. It does not mean the output is correct, and nothing here reproduces the paper's results. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code.

Each sample ends with its code_sha256, Syntology's identity for that exact code. An agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

Repository labels, per sample. official repository: The archive marks this repository official for the paper. named in the paper: The archive records that the paper mentions this repository; it is not marked official. community (archive-listed): In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper. found in paper text by Syntology: Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted. community: Not in the archive's code links for this paper; a community repository Syntology harvested. Samples from a repository marked official are listed first. Licence labels name the repository's licence as recorded at harvest. “Pointer only” means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence label for the reason. File links open the file on GitHub at the default branch, which may have changed since the harvest.

get_chunk baai-dcai/spatialbot/bunny/eval/model_vqa.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · 42a46570620cd9fa · report
is_none baai-dcai/spatialbot/bunny/eval/model_vqa_mmbench.py official repository ran · violated contract MIT (permissive) · bae18947b56f2be1 · report
split_list baai-dcai/spatialbot/bunny/eval/model_vqa.py official repository ran · our draft was wrong fingerprinted MIT (permissive) · 076c252c52cbb161 · report
load_pretrained_model baai-dcai/spatialbot/bunny/model/builder.py official repository unverified MIT (permissive) · e9b7271007c206d0 · report
load_yaml baai-dcai/spatialbot/bunny/eval/eval_rtx.py official repository unverified MIT (permissive) · ce93b7e192e1a8b7 · report

Tasks

Spatial Reasoning

Datasets

Introduced by this paper, per the archive.

SpatialQA

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Spatial Reasoning 6-DoF SpatialBench SpatialBot Orientation-abs 22.9 #4 of 7 Archive leaderboard report
Spatial Reasoning 6-DoF SpatialBench SpatialBot Orientation-rel 39.6 #4 of 7 Archive leaderboard report
Spatial Reasoning 6-DoF SpatialBench SpatialBot Position-abs 21.6 #4 of 7 Archive leaderboard report
Spatial Reasoning 6-DoF SpatialBench SpatialBot Position-rel 50.9 #4 of 7 Archive leaderboard report
Spatial Reasoning 6-DoF SpatialBench SpatialBot Total 32.7 #4 of 7 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections