Pith. sign in

Paper Citation Record · LEDGER

Deep Meta Functionals for Shape Representation

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.06277.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.06277 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:56:08.473995Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d4724dd-7411-4add-a335-12914298c587 · outbound

This paper cites Learning feed-forward one-shot learners.

Deep Meta Functionals for Shape Representation Learning feed-forward one-shot learners

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.329269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.216377Z digest=sha256:793a7a57b9320ae491b33142c3881fe733c5c75977092e5c903abf927f57c95d

Observation 268c3ba0-a0ef-4e60-b3bf-5173e1e772f5 · outbound

This paper cites Polygonization of implicit surfaces.

Deep Meta Functionals for Shape Representation Polygonization of implicit surfaces

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.310629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.228496Z digest=sha256:d18111c7cdeca643a2befcfe547c79af978ff0ebb00b4aa7e9c95429a973b6e3

Observation 73007186-ea82-47bf-9197-4306da5c8cd6 · outbound

This paper cites A geometric model for active contours in image pro- cessing.

Deep Meta Functionals for Shape Representation A geometric model for active contours in image pro- cessing

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.289522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.235825Z digest=sha256:af284ed1bf73f4415e37466f11c2a04368dfd3b3d04cbbf7ee7b8b8e116b74ff

Observation 4d5a780b-691e-431f-a469-8fc8c9b19335 · outbound

This paper cites A geometric model for active contours in image pro- cessing.

Deep Meta Functionals for Shape Representation A geometric model for active contours in image pro- cessing

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.271210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.241996Z digest=sha256:5a1ba6655e2afa3571f61c4fefd7125d654d77a9dba6f2b404200430e814d09f

Observation b9cc592a-68e3-4394-86bc-8a892cc45b0e · outbound

This paper cites Geodesic active contours.

Deep Meta Functionals for Shape Representation Geodesic active contours

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.252097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.248658Z digest=sha256:b369f84bbcb8ff436f24aed393ba3fa4d8807d9ed20275c0da5c3045ec7eafe0

Observation 51253e87-e3e7-4a1f-890a-dcf38e06dcc7 · outbound

This paper cites Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Mano- lis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu.

Deep Meta Functionals for Shape Representation Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Mano- lis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.228942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.259570Z digest=sha256:1510bd9afc82432f2984d012b0839bd2b6c89d8b98b3c64054621fc5751eef90

Observation d9e29dd6-a1dd-4ef2-91e9-d8e7b026d03f · outbound

This paper cites Learning implicit fields for generative shape modeling, 2018.

Deep Meta Functionals for Shape Representation Learning implicit fields for generative shape modeling, 2018

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.210587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.265733Z digest=sha256:21431e90e5deedf1d5da33e5a2ebe03aec6a1d4fe3644426926257f8bb470bb9

Observation 36583545-8210-497a-bc77-a2413b58e4ab · outbound

This paper cites 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction.

Deep Meta Functionals for Shape Representation 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:08.271887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:08.271887Z digest=sha256:0750f230d03924de2b97a1c9f097e54d3bf2e5679dccbaf431b0e7a677ff2aaf

Observation 17c87833-2887-4ac9-928e-bfab3a8ae3cf · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Deep Meta Functionals for Shape Representation Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:08.283489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:08.283489Z digest=sha256:087cada41658bdfca295e8b9812ea36898d0957284b655f0ac3441a973ac8c33

Observation 09d90bfc-eae3-4e69-bca9-175a6ca82352 · outbound

This paper cites an unresolved cited work.

Deep Meta Functionals for Shape Representation Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:56:09.180398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.291194Z digest=sha256:5f52eb57e18e65fd070215e30e441feb48b8e0e0d3e73b512456bf5f8072dffc

Observation 6851f20e-e4d3-4a5b-986b-66ee1cb34e29 · outbound

This paper cites Kim, Bryan C.

Deep Meta Functionals for Shape Representation Kim, Bryan C

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.162578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.299417Z digest=sha256:c96782c6b6c9bc55024c680a5e37900f027f14e162097658376ae2f398785841

Observation 90df7d0b-04d1-4187-be34-34b1768c390c · outbound

This paper cites HyperNetworks.

Deep Meta Functionals for Shape Representation HyperNetworks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:08.321038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:08.321038Z digest=sha256:58e910c55668219870f7531e9d4a71c8e38fe221dab3ea6d27a2f74e5a44f877

Observation eb874b6f-cd13-4ace-ae40-7d90cd98826c · outbound

This paper cites Hi- erarchical surface prediction for 3d object reconstruction.

Deep Meta Functionals for Shape Representation Hi- erarchical surface prediction for 3d object reconstruction

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.140747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.329292Z digest=sha256:79d024de6eb8bbf85985aa0cd806d2ce6c9da531bc780cb9f22c6d9f606c71cd

Observation 49bd0c2e-3df1-4ec5-83b5-d1f1246819b2 · outbound

This paper cites Ray tracing algebraic surfaces.

Deep Meta Functionals for Shape Representation Ray tracing algebraic surfaces

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.114119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.335169Z digest=sha256:caabea8e65b62178e2f45f501992d602d7cd07a192bcd7cbc274c7445bda70ed

Observation db3e17d3-6df1-422d-ae2b-b887f999d9b4 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification.

Deep Meta Functionals for Shape Representation Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.093742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.340929Z digest=sha256:6e9e2f495a5f6d6e34b59502f374fdcc66294a6d83a8246fc1c7857246858efd

Observation d3630211-57c2-4895-9fac-77564dbdae5c · outbound

This paper cites Dynamic filter networks.

Deep Meta Functionals for Shape Representation Dynamic filter networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.072545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.346061Z digest=sha256:a11a9c88d1141b9375dcb546d8371b73c11e2698a1d18ec512943b3d344e761b

Observation c760a188-043e-4822-a856-44cf67dce23b · outbound

This paper cites Gal: Geometric adversarial loss for single-view 3d-object recon- struction.

Deep Meta Functionals for Shape Representation Gal: Geometric adversarial loss for single-view 3d-object recon- struction

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.055716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.352288Z digest=sha256:d683e4864846d001e2dc32a43249875d00187d7799d2655eb07f16823b02d2e3

Observation 216bfe41-ec75-421a-a2ab-8fcc9569ec37 · outbound

This paper cites Learning a multi-view stereo machine, 2017.

Deep Meta Functionals for Shape Representation Learning a multi-view stereo machine, 2017

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.036305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.357284Z digest=sha256:8a0f386d9ed9092dafde857b927ec92b6d524ed90fb0c206a996bfa8ef6d5300

Observation fefc5ff8-098d-4126-9afe-1150dcf361cf · outbound

This paper cites Snakes: Active contour models.

Deep Meta Functionals for Shape Representation Snakes: Active contour models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:08.362463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:08.362463Z digest=sha256:15f5774670555c90ebc8ec896150b3fba7d0be541f63143e272ed90764d9c387

Observation 1aa790b0-1437-4816-a124-971946678224 · outbound

This paper cites Learning View Priors for Single-view 3D Reconstruction.

Deep Meta Functionals for Shape Representation Learning View Priors for Single-view 3D Reconstruction

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:08.368415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:08.368415Z digest=sha256:031ce33e260bfdb1014ca2ea93a71826c550df23e633660a8a08c7a74eecdc82

Observation e02599ad-6942-4cfd-9d2e-534751721039 · outbound

This paper cites Neu- ral 3d mesh renderer.

Deep Meta Functionals for Shape Representation Neu- ral 3d mesh renderer

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:09.000114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.375452Z digest=sha256:f964f55f69fb179ce66efa77bada64a56e100d98fd0239149d3bf9bf399a8d5e

Observation 074eff2d-ee9d-4c8b-9061-ea9c158f5693 · outbound

This paper cites Gradient flows and ge- ometric active contour models.

Deep Meta Functionals for Shape Representation Gradient flows and ge- ometric active contour models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.976498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.384996Z digest=sha256:3675d098bf6b330ef1ee357943e19aec94058a4fcf00e03676d9f047cc894b28

Observation 9f4a7670-9ba3-4428-b53c-4c5b2d4795f0 · outbound

This paper cites A dynamic convolutional layer for short range weather prediction.

Deep Meta Functionals for Shape Representation A dynamic convolutional layer for short range weather prediction

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.948628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.391791Z digest=sha256:8e5d0190f1ac43a15042b61710c7097b871614238721d3249d794809e81ec276

Observation adc65205-3a54-4e28-8f51-3f10fc329eaf · outbound

This paper cites Kosinski.

Deep Meta Functionals for Shape Representation Kosinski

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.920022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.396885Z digest=sha256:9f4a1ab0f2599a834fb4eba49d9ab038966d60d8d287d3d5fdf488191cbd43c1

Observation 5b68bc01-a738-4605-9e73-0a0e41053b43 · outbound

This paper cites Active contour based segmentation of 3d surfaces.

Deep Meta Functionals for Shape Representation Active contour based segmentation of 3d surfaces

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.892004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.406576Z digest=sha256:159486b6df5ee35749ebb24890491840421b8daf07d74ebc10f0598b6e4af59c

Observation 851211f5-9334-40b1-a90f-22f95aff3ffe · outbound

This paper cites Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction.

Deep Meta Functionals for Shape Representation Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:56:08.532341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.411987Z digest=sha256:09f36260715b6c806ae12d4ca8de9f6a61241074048e4e8b057bfca554156b7d

Observation 9b2e8487-f7ba-44dc-b693-b268074f21e3 · outbound

This paper cites Lorensen and Harvey E.

Deep Meta Functionals for Shape Representation Lorensen and Harvey E

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.871660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.420044Z digest=sha256:c7e06a7d86a109af30e9126fbdada48bd09fb01327417edf20e2b8a3a8f0e978

Observation a90de87d-e647-447e-8681-59d495c7fe4a · outbound

This paper cites Evolu- tionary fronts for topology-independent shape modeling and recovery.

Deep Meta Functionals for Shape Representation Evolu- tionary fronts for topology-independent shape modeling and recovery

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.847940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.425333Z digest=sha256:9a432305a323a46d72eca8b2a73789e08bc8f6fd0e8e53b3fcd4c30131f930b1

Observation bfaf16cc-0010-4251-ac7f-62a14791fcf2 · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space, 2018.

Deep Meta Functionals for Shape Representation Occupancy networks: Learning 3d reconstruction in function space, 2018

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.819001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.430689Z digest=sha256:d98f82ce3b1ea9ab73daa558ff58c7cad5d402921af079f9bc0a89ff81c0803f

Observation 697d3dcb-3bcd-496f-a033-0ef4fa1ebfde · outbound

This paper cites On the number of linear regions of deep neural networks.

Deep Meta Functionals for Shape Representation On the number of linear regions of deep neural networks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.776738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.435516Z digest=sha256:ddb3af1d105a64f32d61f1d3698e47aa7ff0055a34d24c1faf793000bae8e390

Observation 5ae52b79-48e6-4036-a6a3-a0e2749defa8 · outbound

This paper cites Deepsdf: Learning con- tinuous signed distance functions for shape representation,.

Deep Meta Functionals for Shape Representation Deepsdf: Learning con- tinuous signed distance functions for shape representation,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:08.440787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:08.440787Z digest=sha256:b617f3b697818f5d8b62cfef9251638200f7a348d43f22e017bccb2fb78cca47

Observation f78e81e5-3c23-4aa2-9ec8-f862e098784b · outbound

This paper cites Matryoshka networks: Predicting 3d geometry via nested shape layers.

Deep Meta Functionals for Shape Representation Matryoshka networks: Predicting 3d geometry via nested shape layers

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.742762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.445939Z digest=sha256:2a3b7bf0fe35c11ad2f28ee95134ef69578e86a703701752678c419893042229

Observation 4af68026-0bd9-4a9f-97c1-3ecbd1556352 · outbound

This paper cites Riegler, S.

Deep Meta Functionals for Shape Representation Riegler, S

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.724277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.452401Z digest=sha256:297cb9ce68023a7d8abb4443c91290a89e35066211a4c80a7af1c3b30abbb009

Observation c9e3d2d8-6eb6-4805-ad4d-28a90d98e1f5 · outbound

This paper cites Octnet: Learning deep 3d representations at high resolu- tions.

Deep Meta Functionals for Shape Representation Octnet: Learning deep 3d representations at high resolu- tions

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.696181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.458009Z digest=sha256:085d4506dbdd01421905bbecc9881e5d18d0a32fb94e35de695aa3451917844c

Observation 05587d0e-b316-4192-8952-86a4dd4f1332 · outbound

This paper cites Octree generating networks: Efficient convolutional archi- tectures for high-resolution 3d outputs.

Deep Meta Functionals for Shape Representation Octree generating networks: Efficient convolutional archi- tectures for high-resolution 3d outputs

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.675222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.463080Z digest=sha256:c2c9edd15946004276e3919ea765311ce4c17ab7015a55fdc84bb33d6eaca34b

Observation c4a3a638-7f2d-4146-b9f3-b61f1be058ab · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images.

Deep Meta Functionals for Shape Representation Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:08.468205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:08.468205Z digest=sha256:8ad9cf9095018dda06c84258eb2ad935aad2a4593a3fa8f536102d7c220a754c

Observation e6758725-1981-46ba-bed6-169b2b6270d5 · outbound

This paper cites Inferring point clouds from single monocular images by depth intermedia- tion, 2018.

Deep Meta Functionals for Shape Representation Inferring point clouds from single monocular images by depth intermedia- tion, 2018

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:56:08.644071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T12:56:08.473995Z digest=sha256:0038fffe739d411e68ac304ff60a32adb483f0100fa3118950c0338b99644cf8

Pith citing papers

No inbound Pith citation observations are available.