Datasets:

zx1239856
/

3d-front-ar-packed

uid int32 10k 19.6k	scene_id stringlengths 36 36	K array 2D	wrd2cam array 2D	wrd2cam_rect array 2D	rect_inv array 2D	objects dict	layout dict
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10,001	490f9a57-79fd-4854-901d-023d0a56fadc	[ [ 584, 0, 324 ], [ 0, 584, 242 ], [ 0, 0, 1 ] ]	[[-1.0,0.0,0.0,-4.040500164031982],[0.0,0.9571073055267334,-0.28973376750946045,-1.3726338148117065](...TRUNCATED)	[[-1.0,0.0,0.0,-4.040500164031982],[0.0,1.0,-1.2883013785713285e-17,-1.3726338148117065],[0.0,-3.483(...TRUNCATED)	[[1.0,0.0,0.0],[0.0,0.9571073055267334,0.28973376750946045],[0.0,-0.28973376750946045,0.957107305526(...TRUNCATED)	{"bounds":[[[-2.494999885559082,-1.8369699480055068e-17,-0.30000099539756775],[2.494999885559082,2.5(...TRUNCATED)	{"centroid":[[-0.0426427498459816,0.1443285197019577,-1.5311589241027832]],"coeffs":[[-1.25723147392(...TRUNCATED)
10,002	490f9a57-79fd-4854-901d-023d0a56fadc	[ [ 584, 0, 324 ], [ 0, 584, 242 ], [ 0, 0, 1 ] ]	[[9.104117452807259e-6,6.938893903907228e-18,-1.0,1.2721138000488281],[-0.0757746547460556,0.9971249(...TRUNCATED)	[[9.104117452807259e-6,-1.3187938161787439e-33,-1.0,1.2721138000488281],[-7.11527031719946e-18,1.0,-(...TRUNCATED)	[[1.0,6.938893903907228e-18,-5.273083051557367e-19],[-6.958900921383048e-18,0.997124969959259,-0.075(...TRUNCATED)	{"bounds":[[[-2.494999885559082,-1.8369699480055068e-17,-0.30000099539756775],[2.494999885559082,2.5(...TRUNCATED)	{"centroid":[[0.20782729983329773,0.1955895870923996,-0.8272754549980164]],"coeffs":[[-1.05443799495(...TRUNCATED)
10,003	490f9a57-79fd-4854-901d-023d0a56fadc	[ [ 584, 0, 324 ], [ 0, 584, 242 ], [ 0, 0, 1 ] ]	[[-0.25881025195121765,0.0,-0.9659281969070435,0.9350096583366394],[0.0685562863945961,0.99747812747(...TRUNCATED)	[[-0.25881025195121765,0.0,-0.9659281969070435,0.9350096583366394],[4.6077222037865795e-9,1.0,-6.743(...TRUNCATED)	[[1.0,0.0,0.0],[0.0,0.9974781274795532,0.07097451388835907],[0.0,-0.07097451388835907,0.997478127479(...TRUNCATED)	{"bounds":[[[-2.494999885559082,-1.8369699480055068e-17,-0.30000099539756775],[2.494999885559082,2.5(...TRUNCATED)	{"centroid":[[-0.020986828953027725,0.1450752317905426,-0.17197787761688232]],"coeffs":[[-1.11816346(...TRUNCATED)
10,004	490f9a57-79fd-4854-901d-023d0a56fadc	[ [ 584, 0, 324 ], [ 0, 584, 242 ], [ 0, 0, 1 ] ]	[[1.0,0.0,0.0,4.2828545570373535],[0.0,0.9940560460090637,-0.10886949300765991,-1.0826181173324585],(...TRUNCATED)	[[1.0,0.0,0.0,4.2828545570373535],[0.0,1.0,-4.456587751362146e-18,-1.0826181173324585],[0.0,-5.58029(...TRUNCATED)	[[1.0,0.0,0.0],[0.0,0.9940560460090637,-0.10886949300765991],[0.0,0.10886949300765991,0.994056046009(...TRUNCATED)	{"bounds":[[[-1.2386070489883423,0.00039999998989515007,-0.42690399289131165],[1.2383710145950317,0.(...TRUNCATED)	{"centroid":[[-0.005945195443928242,0.16490498185157776,-1.0096882581710815]],"coeffs":[[-0.38931581(...TRUNCATED)
10,006	491af85e-3c8f-40f2-a204-392483bb4308	[ [ 584, 0, 324 ], [ 0, 584, 242 ], [ 0, 0, 1 ] ]	[[0.5000078678131104,-1.734723475976807e-18,0.8660208582878113,-3.1928353309631348],[0.0274017099291(...TRUNCATED)	[[0.5000078678131104,1.0322059516431182e-34,0.8660208582878113,-3.1928353309631348],[4.4781778285596(...TRUNCATED)	[[1.0,-1.734723475976807e-18,5.491576477261685e-20],[1.735592429210294e-18,0.9994993209838867,-0.031(...TRUNCATED)	{"bounds":[[[-1.0969200134277344,-0.0030968100763857365,-0.44854599237442017],[1.0975699424743652,0.(...TRUNCATED)	{"centroid":[[-0.33429262042045593,0.06363935768604279,0.09535354375839233]],"coeffs":[[0.4208171367(...TRUNCATED)
10,007	491af85e-3c8f-40f2-a204-392483bb4308	[ [ 584, 0, 324 ], [ 0, 584, 242 ], [ 0, 0, 1 ] ]	[[0.7071132063865662,6.938893903907228e-18,0.7071003317832947,-2.6132707595825195],[-0.0772389173507(...TRUNCATED)	[[0.7071132063865662,-1.657665970482266e-33,0.7071003317832947,-2.6132707595825195],[5.3105466690794(...TRUNCATED)	[[1.0,6.938893903907228e-18,7.625212999370412e-19],[-6.980665697660544e-18,0.9940161108970642,0.1092(...TRUNCATED)	{"bounds":[[[-1.0969200134277344,-0.0030968100763857365,-0.44854599237442017],[1.0975699424743652,0.(...TRUNCATED)	{"centroid":[[-0.5147586464881897,-0.19352257251739502,0.1986975073814392]],"coeffs":[[0.33667799830(...TRUNCATED)
10,008	491af85e-3c8f-40f2-a204-392483bb4308	[ [ 584, 0, 324 ], [ 0, 584, 242 ], [ 0, 0, 1 ] ]	[[-0.7071003317832947,1.734723475976807e-18,0.7071132063865662,-2.5833089351654053],[0.0197888128459(...TRUNCATED)	[[-0.7071003317832947,-2.822539638009378e-34,0.7071132063865662,-2.5833089351654053],[-5.97342175723(...TRUNCATED)	[[1.0,1.734723475976807e-18,-4.856587079508805e-20],[-1.7354032116451725e-18,0.9996083378791809,-0.0(...TRUNCATED)	{"bounds":[[[-1.0969200134277344,-0.0030968100763857365,-0.44854599237442017],[1.0975699424743652,0.(...TRUNCATED)	{"centroid":[[1.6659088134765625,0.11735392361879349,1.6731176376342773]],"coeffs":[[2.1416068077087(...TRUNCATED)
10,009	491af85e-3c8f-40f2-a204-392483bb4308	[ [ 584, 0, 324 ], [ 0, 584, 242 ], [ 0, 0, 1 ] ]	[[-0.9675978422164917,3.469446951953614e-18,-0.2524964213371277,1.8994523286819458],[0.0279454141855(...TRUNCATED)	[[-0.9675978422164917,1.371086049717058e-34,-0.2524964213371277,1.8994523286819458],[-3.421263966574(...TRUNCATED)	[[1.0,3.469446951953614e-18,3.8635975315581545e-19],[-3.4908932636952765e-18,0.9938564896583557,0.11(...TRUNCATED)	{"bounds":[[[-0.49709001183509827,0.0,-0.1603199988603592],[0.49713999032974243,0.7966300249099731,0(...TRUNCATED)	{"centroid":[[-0.4030040204524994,-0.3567487597465515,1.700090765953064]],"coeffs":[[2.0803322792053(...TRUNCATED)
10,010	491af85e-3c8f-40f2-a204-392483bb4308	[ [ 584, 0, 324 ], [ 0, 584, 242 ], [ 0, 0, 1 ] ]	[[-0.8627369403839111,3.469446951953614e-18,0.5056530833244324,0.34247109293937683],[-0.033044364303(...TRUNCATED)	[[-0.8627369403839111,5.624199557612275e-34,0.5056530833244324,0.34247109293937683],[-5.428331117940(...TRUNCATED)	[[1.0,3.469446951953614e-18,2.272136154206397e-19],[-3.476879169757403e-18,0.9978623986244202,0.0653(...TRUNCATED)	{"bounds":[[[-1.0969200134277344,-0.0030968100763857365,-0.44854599237442017],[1.0975699424743652,0.(...TRUNCATED)	{"centroid":[[0.8307288289070129,-0.2390948385000229,2.528904676437378]],"coeffs":[[2.03530812263488(...TRUNCATED)

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PixARMesh Training Dataset

Project Page | Paper | GitHub

This repository contains the training dataset for PixARMesh, a method to autoregressively reconstruct complete 3D indoor scene meshes directly from a single RGB image. Unlike prior methods that rely on implicit signed distance fields, PixARMesh jointly predicts object layout and geometry within a unified model, producing coherent and artist-ready meshes in a single forward pass.

Dataset Preparation

According to the official repository, you should flatten the dataset to ensure uniform instance sampling across scenes:

python -m scripts.flatten_dataset

This prevents instances from scenes with many objects from being under-sampled during training.

Citation

If you find PixARMesh useful in your research, please consider citing:

@article{zhang2026pixarmesh,
  title={PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction},
  author={Zhang, Xiang and Yoo, Sohyun and Wu, Hongrui and Li, Chuan and Xie, Jianwen and Tu, Zhuowen},
  journal={arXiv preprint arXiv:2603.05888},
  year={2026}
}