Papers › EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular...

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

22 Mar 2023arXiv:2303.12787archive 2025-07-28

Hansheng Chen, Wei Tian, Pichao Wang, Fan Wang, Lu Xiong, Hao Li

Locating 3D objects from a single RGB image via Perspective-n-Point (PnP) is a long-standing problem in computer vision. Driven by end-to-end deep learning, recent studies suggest interpreting PnP as a differentiable layer, allowing for partial learning of 2D-3D point correspondences by backpropagating the gradients of pose loss. Yet, learning the entire correspondences from scratch is highly challenging, particularly for ambiguous pose solutions, where the globally optimal pose is theoretically non-differentiable w.r.t. the points. In this paper, we propose the EPro-PnP, a probabilistic PnP layer for general end-to-end pose estimation, which outputs a distribution of pose with differentiable probability density on the SE(3) manifold. The 2D-3D coordinates and corresponding weights are treated as intermediate variables learned by minimizing the KL divergence between the predicted and target pose distribution. The underlying principle generalizes previous approaches, and resembles the attention mechanism. EPro-PnP can enhance existing correspondence networks, closing the gap between PnP-based method and the task-specific leaders on the LineMOD 6DoF pose estimation benchmark. Furthermore, EPro-PnP helps to explore new possibilities of network design, as we demonstrate a novel deformable correspondence network with the state-of-the-art pose accuracy on the nuScenes 3D object detection benchmark. Our code is available at https://github.com/tjiiv-cprg/EPro-PnP-v2.

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="2303.12787")

Code

Syntology Ran 1 of 8 code samples harvested from 2 repositories linked to this paper; 7 have no recorded run. Of those that ran: 1 ran · violated contract.

By repository: official repository: 1 sample from 1 repository, 0 ran; community (archive-listed): 7 samples from 1 repository, 1 ran. The run record, sample by sample. “Ran” means executed on a synthesized input, not that the code is correct or reproduces the paper.

tjiiv-cprg/epro-pnp-v2 officialmentioned in papermentioned on GitHubpytorchMIT report
tjiiv-cprg/epro-pnp mentioned on GitHubpytorchApache-2.0 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

8 samples harvested; 1 ran; 0 honoured the contract we drafted; 7 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
7unverified

Licence: 7 of the 8 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 2 repositories linked to this paper, official or community; each sample names its own and says which. “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.

download tjiiv-cprg/epro-pnp-v2/EPro-PnP-6DoF_v2/lib/utils/fs.py official repository unverified MIT (permissive) · 78300875c6a51f76 · report
str2bool tjiiv-cprg/epro-pnp/EPro-PnP-6DoF/lib/config.py community (archive-listed) ran · violated contract Apache-2.0 recorded; this copy not marked cleared · pointer only · f017532fc389cbfe · report
draw_orient_density tjiiv-cprg/epro-pnp/EPro-PnP-6DoF/lib/utils/draw_orient_density.py community (archive-listed) unverified Apache-2.0 recorded; this copy not marked cleared · pointer only · 5a8477f0b7df5a2a · report
euler_angles_to_matrix tjiiv-cprg/epro-pnp/EPro-PnP-6DoF/lib/ops/rotation_conversions.py community (archive-listed) unverified Apache-2.0 recorded; this copy not marked cleared · pointer only · 97dae9745013aa60 · report
matrix_to_quaternion tjiiv-cprg/epro-pnp/EPro-PnP-6DoF/lib/ops/rotation_conversions.py community (archive-listed) unverified Apache-2.0 recorded; this copy not marked cleared · pointer only · e59f47c519114fa0 · report
obj2idx tjiiv-cprg/epro-pnp/EPro-PnP-6DoF/lib/ref.py community (archive-listed) unverified Apache-2.0 recorded; this copy not marked cleared · pointer only · 5253f1ce3347b571 · report
quaternion_to_matrix tjiiv-cprg/epro-pnp/EPro-PnP-6DoF/lib/ops/rotation_conversions.py community (archive-listed) unverified Apache-2.0 recorded; this copy not marked cleared · pointer only · e0238352153c0549 · report
set_logger_dir tjiiv-cprg/epro-pnp/EPro-PnP-6DoF/lib/utils/fancy_logger.py community (archive-listed) unverified Apache-2.0 recorded; this copy not marked cleared · pointer only · c4444b8ff1266dfa · report

Tasks

3D Object Detection6D Pose Estimation using RGBObject DetectionPose Estimationobject-detection

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Object Detection nuScenes EPro-PnP-Det v2 NDS 0.49 #278 of 372 Archive leaderboard report
3D Object Detection nuScenes EPro-PnP-Det v2 mAAE 0.123 #278 of 372 Archive leaderboard report
3D Object Detection nuScenes EPro-PnP-Det v2 mAOE 0.302 #278 of 372 Archive leaderboard report
3D Object Detection nuScenes EPro-PnP-Det v2 mAP 0.423 #278 of 372 Archive leaderboard report
3D Object Detection nuScenes EPro-PnP-Det v2 mASE 0.236 #278 of 372 Archive leaderboard report
3D Object Detection nuScenes EPro-PnP-Det v2 mATE 0.547 #278 of 372 Archive leaderboard report
3D Object Detection nuScenes EPro-PnP-Det v2 mAVE 1.071 #278 of 372 Archive leaderboard report
6D Pose Estimation using RGB LineMOD EPro-PnP-6DoF v2 Mean ADD 96.36 #4 of 22 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.

Methods

PnP

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