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Paper Citation Record · LEDGER

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation

As of 20 August 2026, this Paper Citation Record lists 100 of 134 outbound references and 0 inbound Pith citation observations for arXiv:2509.09555.

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

pith.paper-citation-record.v1
2509.09555 v1

Coverage vector

measured 100 of 134 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:57:10.556979Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

100 of 134 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23209582-1e4f-48ee-a081-00b32630b537 · outbound

This paper cites http:// mocap.cs.cmu.edu/.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation http:// mocap.cs.cmu.edu/

Reference 1

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Observation 2806ad5a-c747-46ff-88cb-ac9551f3d895 · outbound

This paper cites an unresolved cited work.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Unresolved cited work

Reference 2

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Observation ce172e8b-c3e9-4c99-a9de-68d6df173f51 · outbound

This paper cites Pmp: Learning to physically interact with environments using part-wise motion priors.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Pmp: Learning to physically interact with environments using part-wise motion priors

Reference 3

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Observation c9a8998c-1263-421e-b304-4bd32e312498 · outbound

This paper cites BEHA VE: Dataset and method for tracking human object interactions.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation BEHA VE: Dataset and method for tracking human object interactions

Reference 4

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Observation e2f89e05-31ec-44cd-804f-3b069c739438 · outbound

This paper cites Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion

Reference 5

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Observation 647fe5b6-7c63-4923-9b70-afec734fd5ff · outbound

This paper cites Physically Plausible Full-Body Hand-Object Interaction Synthesis.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Physically Plausible Full-Body Hand-Object Interaction Synthesis

Reference 6

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Observation dbb1139d-a43c-4c69-a54c-8ec8b30c1599 · outbound

This paper cites Lan- guage models are few-shot learners.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Lan- guage models are few-shot learners

Reference 7

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source=pdf_text observed=2026-08-04T18:57:10.293555Z digest=sha256:10aaa469dd0ede4680f85996e65ea344adb4af0be3fea76cb56a8f26bd183502

Observation 1b016db7-4be6-4e44-b80b-ed4759497612 · outbound

This paper cites Long-term human motion prediction with scene context.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Long-term human motion prediction with scene context

Reference 8

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source=pdf_text observed=2026-08-04T18:57:10.296554Z digest=sha256:a4d78ecc801631c74d80bfcf870648699b6b9bb3ec07cc0b4b7c89adcd35f88e

Observation b5e5dfd9-aa02-4dd2-a4ee-6df5396f63c6 · outbound

This paper cites Text2hoi: Text-guided 3d motion generation for hand- object interaction.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Text2hoi: Text-guided 3d motion generation for hand- object interaction

Reference 9

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source=pdf_text observed=2026-08-04T18:57:10.299484Z digest=sha256:e8fd64bf5e53023b3ffa7eda578d8925f3731d6b8ee6db4bac3fbd59eced0b26

Observation 30fb5a14-b349-4b62-a7a3-146bb030675f · outbound

This paper cites Learning to sit: Synthesizing human-chair interactions via hierarchical control.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Learning to sit: Synthesizing human-chair interactions via hierarchical control

Reference 10

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source=pdf_text observed=2026-08-04T18:57:10.302358Z digest=sha256:cdd844b1e0835ccb54c9495e013b54eb127fac8434e7ce28428f07cd956f1536

Observation 5c10c3ea-e0f4-4d1c-99b7-80a1026d46b2 · outbound

This paper cites Dexycb: A benchmark for capturing hand grasping of objects.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Dexycb: A benchmark for capturing hand grasping of objects

Reference 11

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source=pdf_text observed=2026-08-04T18:57:10.305176Z digest=sha256:f84c2e1a48a554902180c92c9d156e5b389437921e38e0c7d030c0249d07e1ce

Observation 11029495-1e23-44bf-945f-aa1297ea12f3 · outbound

This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

Reference 12

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source=pdf_text observed=2026-08-04T18:57:10.308113Z digest=sha256:09c97129ea87d61550744ce32ff6d62e6a7a31c1894806445629d28c507043ac

Observation 370690f0-3647-4664-b726-af0e1c624a07 · outbound

This paper cites DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions

Reference 13

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source=pdf_text observed=2026-08-04T18:57:10.311241Z digest=sha256:f71fddcf15f1701601154a15492f7f44a6a58559c8fa97348466a81adb9ad86c

Observation 4b98d6bc-8ffc-403c-8ead-85d5d0d94a42 · outbound

This paper cites Context-aware human motion prediction.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Context-aware human motion prediction

Reference 14

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source=pdf_text observed=2026-08-04T18:57:10.314427Z digest=sha256:00eecc50492fe561f40f08706042a443712a56fe74b4ae7cb8c1a1422776b3d7

Observation 88e3bd4a-ad59-4d29-89a7-7d63572821c4 · outbound

This paper cites AnySkill: Learning open- vocabulary physical skill for interactive agents.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation AnySkill: Learning open- vocabulary physical skill for interactive agents

Reference 15

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source=pdf_text observed=2026-08-04T18:57:10.317162Z digest=sha256:3fd332ae20822611879bb487cec85fcaa7add9ad863d2ddc97fe76af67349f36

Observation 97b205ca-5f62-4c8a-a477-9a4f7eea904c · outbound

This paper cites Diffusion models beat gans on image synthesis.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Diffusion models beat gans on image synthesis

Reference 16

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source=pdf_text observed=2026-08-04T18:57:10.320001Z digest=sha256:16a9ebef33e3d81cad260f03638ca07a96e3b3c59984f12d1ca7fed33191f294

Observation c272eb8e-5aba-41d4-8332-fca055b0c89f · outbound

This paper cites Exploiting cyclic symmetry in convolutional neural net- works.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Exploiting cyclic symmetry in convolutional neural net- works

Reference 17

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source=pdf_text observed=2026-08-04T18:57:10.322760Z digest=sha256:b7ba6aef8b0e7327eef763ea9100658b7fd5b11e175fe681f301bfd40e6a0328

Observation 6ea76ff0-de51-41cb-9cce-058fd47867ea · outbound

This paper cites CG-HOI: Contact-guided 3d human-object interaction generation.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation CG-HOI: Contact-guided 3d human-object interaction generation

Reference 18

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source=pdf_text observed=2026-08-04T18:57:10.325661Z digest=sha256:4e303c9b517176ba2f2ab4bb8551eb310b566dc9de7a5d6d72766f3d8fa2ba4a

Observation f184bdda-2bfd-4035-8191-c34f480a71f7 · outbound

This paper cites Scaling laws of synthetic images for model training.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Scaling laws of synthetic images for model training

Reference 19

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source=pdf_text observed=2026-08-04T18:57:10.328501Z digest=sha256:7b42293e7c831551d92f323fac8c72527f4c79465fc1ecd7a7ab16021196b5bd

Observation b240a71d-7d9e-4b3f-9fa1-f05b63774f0e · outbound

This paper cites Black, and Otmar Hilliges.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Black, and Otmar Hilliges

Reference 20

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source=pdf_text observed=2026-08-04T18:57:10.331156Z digest=sha256:2bb505b61fe38716d68c8f2bcf6e29ae58c41fe15fc578611e989392dc6e6ebd

Observation e6407693-117d-41f7-a590-5c401072c759 · outbound

This paper cites IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions

Reference 21

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source=pdf_text observed=2026-08-04T18:57:10.333991Z digest=sha256:adcefa44644889efe33ee9a22ad4a777cbf989d581cdb12d537bd966e9e8fc59

Observation f86c6f61-8ba9-46ba-8349-1d4506341d8d · outbound

This paper cites Generating diverse and natural 3d human motions from text.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Generating diverse and natural 3d human motions from text

Reference 22

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Observation de89e441-f8a2-437d-87ff-e7c6f1080597 · outbound

This paper cites Honnotate: A method for 3d annotation of hand and object poses.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Honnotate: A method for 3d annotation of hand and object poses

Reference 23

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source=pdf_text observed=2026-08-04T18:57:10.340005Z digest=sha256:ff0a26b81f207bbccfc23fd8964bb3eca9d8cb69d8b54963c86891e2d0b6b455

Observation 10fe08c3-710d-4efa-9d6d-8b5f907c829c · outbound

This paper cites Resolving 3d human pose ambiguities with 3d scene constraints.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Resolving 3d human pose ambiguities with 3d scene constraints

Reference 24

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Observation 85365ad5-fde9-4ce9-992c-71699df29d8e · outbound

This paper cites Stochastic scene- aware motion prediction.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Stochastic scene- aware motion prediction

Reference 25

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source=pdf_text observed=2026-08-04T18:57:10.345121Z digest=sha256:26e215a2391247f1aa51a275254d099ecd295b0256a33b7ffae3f45f5fd73f78

Observation eb233d2c-eb2c-4261-9267-95a994722c2f · outbound

This paper cites Synthesizing physi- cal character-scene interactions.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Synthesizing physi- cal character-scene interactions

Reference 26

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Observation 6fc92da0-eb54-49d6-a4dd-8c70b3129acf · outbound

This paper cites Compositional 3D Human-Object Neural Animation.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Compositional 3D Human-Object Neural Animation

Reference 27

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source=pdf_text observed=2026-08-04T18:57:10.350678Z digest=sha256:7135ae234c1ec7bc81817163a6ea7651c32e97041f18cbf141e14e2985d0a934

Observation ff724229-eed9-4505-8883-2cd9275fcfbf · outbound

This paper cites Black, and Dim- itrios Tzionas.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Black, and Dim- itrios Tzionas

Reference 28

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source=pdf_text observed=2026-08-04T18:57:10.353626Z digest=sha256:32432a7070afa9f989694ab6ecc8560fa819fd719c75e74fec394917fa94ecad

Observation b6e9f3de-53a2-4e93-bc5e-7b7039a7abae · outbound

This paper cites CHAIRS: Towards full-body articulated human-object interaction.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation CHAIRS: Towards full-body articulated human-object interaction

Reference 29

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source=pdf_text observed=2026-08-04T18:57:10.356220Z digest=sha256:296358aa2b180c36c99f0d53fd22efeeb62a766597662dd68d8b49c37c3a0890

Observation 1c6e4826-197f-4d64-86fe-406352f58051 · outbound

This paper cites Scaling up dynamic human-scene interaction mod- eling.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Scaling up dynamic human-scene interaction mod- eling

Reference 30

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source=pdf_text observed=2026-08-04T18:57:10.358809Z digest=sha256:5d8663a09e8ec47ade9a49aa44cd0a567022b30de7e159d74d86ee66c64e2ab4

Observation 0518cec9-a914-4121-b150-8426e3bdc70e · outbound

This paper cites From skin to skeleton: Towards biomechanically accurate 3d digital humans.ACM Transactions on Graphics (TOG), 42(6):1–12,.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation From skin to skeleton: Towards biomechanically accurate 3d digital humans.ACM Transactions on Graphics (TOG), 42(6):1–12,

Reference 31

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source=pdf_text observed=2026-08-04T18:57:10.361292Z digest=sha256:a1496b509735665bd5ebb4fd960e68795ace956633c2481160afc458e0169243

Observation e7e0d1c5-4d35-4abe-8614-497e0aca990a · outbound

This paper cites ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions

Reference 32

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source=pdf_text observed=2026-08-04T18:57:10.364075Z digest=sha256:dd3f15f5ce33473bf9a73cac81138a80da2d914cd1bef68bfaeace953c7db818

Observation 6bee9197-77c1-4196-89b5-8be230657af6 · outbound

This paper cites NCHO: Unsupervised learning for neural 3d composition of humans and objects.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation NCHO: Unsupervised learning for neural 3d composition of humans and objects

Reference 33

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source=pdf_text observed=2026-08-04T18:57:10.367014Z digest=sha256:1db32ac1aba5bc8a34565974f880175c9a835246d9cd9f0943b798bea0c205f4

Observation 5d959e52-1ee0-4af9-b18f-5a0ca6bbd1b8 · outbound

This paper cites The kit bimanual manipulation dataset.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation The kit bimanual manipulation dataset

Reference 34

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source=pdf_text observed=2026-08-04T18:57:10.369701Z digest=sha256:fd31b8c5fb94091289940f392389e43216e14144d06e9bfcb9d0009f5464dd7b

Observation 67788e1f-4a34-42a5-80be-1ed84fab1484 · outbound

This paper cites NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis

Reference 35

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source=pdf_text observed=2026-08-04T18:57:10.372377Z digest=sha256:4be7009b04bf41747d35549e78ffa31546f1f87c9bc14dcd28329a6e5ecaa39d

Observation 59c0da3d-9085-41a2-8fba-4f6a4b63ef50 · outbound

This paper cites Locomotion-Action- Manipulation: Synthesizing human-scene interactions in complex 3d environments.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Locomotion-Action- Manipulation: Synthesizing human-scene interactions in complex 3d environments

Reference 36

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source=pdf_text observed=2026-08-04T18:57:10.375127Z digest=sha256:d008c88741546b09408c7e390928e528b71a3e6e76de383bdb167f416f769328

Observation 886a2d0b-8589-4447-a24f-14718772ce88 · outbound

This paper cites Controllable Human-Object Interaction Synthesis.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Controllable Human-Object Interaction Synthesis

Reference 37

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source=pdf_text observed=2026-08-04T18:57:10.377790Z digest=sha256:af076fa53d0a5af949a6cc3de60c7a47f95cd26d8f0aab8bb0bc96929c09e202

Observation ada21ff3-e81d-41ef-bf02-81a8c9313b4d · outbound

This paper cites Object motion guided human motion synthesis.ACM Transactions on Graphics (TOG), 42(6):1–11, 2023.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Object motion guided human motion synthesis.ACM Transactions on Graphics (TOG), 42(6):1–11, 2023

Reference 38

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source=pdf_text observed=2026-08-04T18:57:10.380748Z digest=sha256:f0ccd2e261b6919816ea1d2ab2d22e81f7fd06c84ea03eb0fe296ae5d8a70915

Observation d5ee9926-df31-45c1-9364-748a5aaaa93f · outbound

This paper cites Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations

Reference 39

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source=pdf_text observed=2026-08-04T18:57:10.383440Z digest=sha256:0519767edfe11c1115c4c00f3b7e0622b583ec9ef70ceb022a29eb4096452d82

Observation 23412492-f07a-4cae-b6ee-44897ed69491 · outbound

This paper cites InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions

Reference 40

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source=pdf_text observed=2026-08-04T18:57:10.386641Z digest=sha256:2aa0fa99fc40763b51ded5ee51693bb96f65356397d0bb4a3035ebfdf8151d44

Observation ceb526b7-086d-4c2b-8249-01636c98f166 · outbound

This paper cites Motion-X: A large- scale 3d expressive whole-body human motion dataset.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Motion-X: A large- scale 3d expressive whole-body human motion dataset

Reference 41

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source=pdf_text observed=2026-08-04T18:57:10.389598Z digest=sha256:a8318f3668dee7fd4dbd9ca1328a4e4be499c04452d87e29e6281e75ba6191be

Observation 066e0de2-82b3-4f23-b064-a26b6f5e058d · outbound

This paper cites Learning basketball drib- bling skills using trajectory optimization and deep reinforce- ment learning.ACM Transactions on Graphics (TOG), 37 (4):1–14, 2018.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Learning basketball drib- bling skills using trajectory optimization and deep reinforce- ment learning.ACM Transactions on Graphics (TOG), 37 (4):1–14, 2018

Reference 42

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source=pdf_text observed=2026-08-04T18:57:10.392743Z digest=sha256:8f96c47ef0ba2562afe4f7bf588492e6995093e5da32906142a84336c177d667

Observation fc97bb40-d3d7-457a-abb7-a8c5bcbff7ea · outbound

This paper cites Contactgen: Generative contact modeling for grasp generation.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Contactgen: Generative contact modeling for grasp generation

Reference 43

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source=pdf_text observed=2026-08-04T18:57:10.395799Z digest=sha256:3ed51a616ef8590859e3d1c2343a6fd3281d8a902f9d2daee4da38fdc221dfd8

Observation f5c0c089-b353-4785-ad57-71a71afb7e72 · outbound

This paper cites Hoi4d: A 4d egocentric dataset for category-level human- object interaction.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Hoi4d: A 4d egocentric dataset for category-level human- object interaction

Reference 44

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source=pdf_text observed=2026-08-04T18:57:10.398552Z digest=sha256:f25630d536d55a968554268afed1f78df4cdd26cedf33fbea7e2b7aed838a93c

Observation 87e8d768-fff2-46fc-863f-f29be8042b71 · outbound

This paper cites SMPL: A skinned multi- person linear model.ACM transactions on graphics, 2015.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation SMPL: A skinned multi- person linear model.ACM transactions on graphics, 2015

Reference 45

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source=pdf_text observed=2026-08-04T18:57:10.401123Z digest=sha256:9de8c16c164d135a32348261dbff0f20530ff6033301eaaac7348c135f52c43f

Observation 84240c9f-e38f-4875-b98a-5091ea883426 · outbound

This paper cites HumanTOMATO: Text-aligned Whole-body Motion Generation.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation HumanTOMATO: Text-aligned Whole-body Motion Generation

Reference 46

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source=pdf_text observed=2026-08-04T18:57:10.403659Z digest=sha256:b887db6f12e3d46e498d4e63566d384eae928631b3e174b9b2fdc2ec85e82b2e

Observation 7b3c0dd7-0c45-4544-a3e9-c7a1bce766c5 · outbound

This paper cites SMPLOlympics: Sports Environments for Physically Simulated Humanoids.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation SMPLOlympics: Sports Environments for Physically Simulated Humanoids

Reference 47

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source=pdf_text observed=2026-08-04T18:57:10.406511Z digest=sha256:6811f8ab16436b033dfe4dd6661b621633b22852e379c41d2a6f43b541a8f886

Observation dda2a7ad-0685-46f4-b962-fbf39785584a · outbound

This paper cites Himo: A new benchmark for full-body human interacting with multiple objects.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Himo: A new benchmark for full-body human interacting with multiple objects

Reference 48

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source=pdf_text observed=2026-08-04T18:57:10.409084Z digest=sha256:01267a01573bece4a2c1dca0121f312da4140bf355482420d5332699b064396b

Observation 5391900d-2f3a-4002-9dc2-b5a92b1f74a8 · outbound

This paper cites Diff-ip2d: Diffusion-based hand-object interaction predic- tion on egocentric videos.arXiv preprint arXiv:2405.04370,.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Diff-ip2d: Diffusion-based hand-object interaction predic- tion on egocentric videos.arXiv preprint arXiv:2405.04370,

Reference 49

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source=pdf_text observed=2026-08-04T18:57:10.411709Z digest=sha256:830a11271f518062a867cd2dd0c55b732b07bdbb2555db3f3963f4bda142016c

Observation 85139f07-5dda-4f46-8ac3-87302d84fd9f · outbound

This paper cites AMASS: Archive of motion capture as surface shapes.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation AMASS: Archive of motion capture as surface shapes

Reference 50

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source=pdf_text observed=2026-08-04T18:57:10.414926Z digest=sha256:eac37add73cbb265f738da06f66f36c9d946bfaad127a277158c1bb362102c3c

Observation 108898d8-8ce7-4ded-97cc-ab3afbdc832b · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 51

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source=pdf_text observed=2026-08-04T18:57:10.417501Z digest=sha256:e1300876993df7ad303cb808c99f9842f1f5524a483d89d2418ded4af1fb86c7

Observation 60bbf33d-984e-46c3-97c0-d0d749100519 · outbound

This paper cites The kit whole-body human motion database.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation The kit whole-body human motion database

Reference 52

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source=pdf_text observed=2026-08-04T18:57:10.420289Z digest=sha256:3244d77c9b9c38f4ccaf9f284a8e7fdb317c08b80b98e80391079a1d4ebf7468

Observation e6e12aa9-7f1a-4109-866b-4b36eaa6aaf5 · outbound

This paper cites Unifying representations and large-scale whole-body motion databases for studying human motion.IEEE Transactions on Robotics, 32(4):796– 809, 2016.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Unifying representations and large-scale whole-body motion databases for studying human motion.IEEE Transactions on Robotics, 32(4):796– 809, 2016

Reference 53

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source=pdf_text observed=2026-08-04T18:57:10.422726Z digest=sha256:7a09fdb07d832f6cc9457b8fcdf0dd75bce97cbe8c03989cb31042f8e7757d65

Observation 83bbc1f9-8973-40c5-a195-466f90aefed8 · outbound

This paper cites Single-shot multi-person 3D pose estimation from monocular RGB.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Single-shot multi-person 3D pose estimation from monocular RGB

Reference 54

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:57:10.425203Z digest=sha256:69e53cc792e9c6016ffd65530c0634e803e96bd37bbf4c11c94328ccf742db68

Observation 0b78c26a-00e1-46cd-88a5-c07fcca5785e · outbound

This paper cites Catch & carry: reusable neu- ral controllers for vision-guided whole-body tasks.ACM Transactions on Graphics (TOG), 39(4):39–1, 2020.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Catch & carry: reusable neu- ral controllers for vision-guided whole-body tasks.ACM Transactions on Graphics (TOG), 39(4):39–1, 2020

Reference 55

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source=pdf_text observed=2026-08-04T18:57:10.427804Z digest=sha256:ce320dfbd4f161208618f8a7429c82723c0be35b56903ff7ecf9282344a5cdc6

Observation 7e2caad6-6656-466a-a557-810cfbac41c3 · outbound

This paper cites Interhand2.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Interhand2

Reference 56

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source=pdf_text observed=2026-08-04T18:57:10.432287Z digest=sha256:2e9ad37d5ba68eca3b9fbedb2901b8854196c24d530b756d783b293e9fbf3a17

Observation bead03f2-cdec-44e0-a5be-e9997f2c7efa · outbound

This paper cites Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation

Reference 57

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source=pdf_text observed=2026-08-04T18:57:10.435125Z digest=sha256:f73ecccd0a6cf87e16ab32b9bebc012118dd6595e168cdd197ad006008e9f4e1

Observation 200bca8d-b1ec-48a8-9e97-8a3af30b10aa · outbound

This paper cites Assemblyhands: Towards ego- centric activity understanding via 3d hand pose estimation.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Assemblyhands: Towards ego- centric activity understanding via 3d hand pose estimation

Reference 58

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source=pdf_text observed=2026-08-04T18:57:10.438441Z digest=sha256:15b2162a48813bb3a2f012fcbe81cdc5058f872a7a698637c516cf1c2365466e

Observation d2896900-6835-4168-92a7-31109e875159 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Representation Learning with Contrastive Predictive Coding

Reference 59

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source=pdf_text observed=2026-08-04T18:57:10.441044Z digest=sha256:7739e27341b7dc94454f16b03971677c621d47445c402b60b1be992608778fd6

Observation 1602d422-50b1-4a1f-9e16-a654859ad3a4 · outbound

This paper cites an unresolved cited work.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-04T18:57:10.444144Z digest=sha256:f7d8b63c2b0c946d8b5f79a44240bc5abf9e190fa9aad76239a7ba6a2e005328

Observation 7dc6283e-acc2-4645-b05e-042d7a571d97 · outbound

This paper cites Synthesizing Physically Plausible Human Motions in 3D Scenes.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Synthesizing Physically Plausible Human Motions in 3D Scenes

Reference 61

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source=pdf_text observed=2026-08-04T18:57:10.446905Z digest=sha256:9b686b60597edefdf1e5b5e071c83e8d3539c21747051f74f1ac5765f1a00ca9

Observation c4870068-209d-4742-8539-91ff7efeb89b · outbound

This paper cites an unresolved cited work.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-04T18:57:10.449468Z digest=sha256:6b9b6aa27e5f8987f79bf5b0da261b670696bf214abbcd953fbb215b7a9e5643

Observation 5b7ad611-f3a8-4f53-98bb-90305b69002f · outbound

This paper cites HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models

Reference 63

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source=pdf_text observed=2026-08-04T18:57:10.451963Z digest=sha256:6f55c395523a7ee4e7eb4c900092cd26d22463f0bfe24ebe285ab02193534da1

Observation 18050da0-9444-453d-8fde-9f9392eb6a54 · outbound

This paper cites Object pop-up: Can we infer 3d objects and their poses from human interactions alone? InCVPR, 2023.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Object pop-up: Can we infer 3d objects and their poses from human interactions alone? InCVPR, 2023

Reference 64

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:57:10.454779Z digest=sha256:b3713114afb35413070651ff3976ce750157004b5f7bb296fde0651e09f7496d

Observation 78591db3-9364-465c-8adf-63e065b6d1d7 · outbound

This paper cites Black, and G¨ul Varol.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Black, and G¨ul Varol

Reference 65

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source=pdf_text observed=2026-08-04T18:57:10.457250Z digest=sha256:104d664292c02e8a5002c66e276e4e7ebd5c1de6b606328af3fa1dc8e2fd30a2

Observation 9f186511-d63f-4b83-b88e-c5e15c05fe24 · outbound

This paper cites TMR: Text-to-motion retrieval using contrastive 3d human motion synthesis.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation TMR: Text-to-motion retrieval using contrastive 3d human motion synthesis

Reference 66

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source=pdf_text observed=2026-08-04T18:57:10.460326Z digest=sha256:b12533e2e4bbb09c9236abf41143ef165142e14a47b80d8e37ba7b96dbd002a9

Observation 27dcd75e-4179-465f-9b0a-d343c0cfa864 · outbound

This paper cites The kit motion-language dataset.Big data, 4(4):236–252,.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation The kit motion-language dataset.Big data, 4(4):236–252,

Reference 67

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source=pdf_text observed=2026-08-04T18:57:10.462991Z digest=sha256:5a2f9215fdf81c3888a6e5b51a1e502164485235df6b7b9c0b7ab3ad4e92cdaa

Observation d352dce9-4e55-41c6-b5ad-1dd3fa32a5ab · outbound

This paper cites Efficient learning on point clouds with basis point sets.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Efficient learning on point clouds with basis point sets

Reference 68

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source=pdf_text observed=2026-08-04T18:57:10.465761Z digest=sha256:d409253900e29b446b6d3680663dfc44f161758c839931e5870ac961f8004c34

Observation 26252ae6-7ae3-4389-a23e-b2bb14e86962 · outbound

This paper cites Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J

Reference 69

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source=pdf_text observed=2026-08-04T18:57:10.468437Z digest=sha256:3840ce0a23a55ef35904443dd8d6939ff1e54b87dd09a6f0c0d349ae9f0b78fe

Observation 9b68617c-5074-4f92-a20f-a3917305034f · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 70

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source=pdf_text observed=2026-08-04T18:57:10.471072Z digest=sha256:ebc4e9670f806f867ebe20b2710e64caecd81935424cbbb2721c1bf4d68f83e8

Observation daf76e1f-a93c-48e4-93c1-9a6fca70f7e1 · outbound

This paper cites Action-conditioned gen- eration of bimanual object manipulation sequences.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Action-conditioned gen- eration of bimanual object manipulation sequences

Reference 71

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source=pdf_text observed=2026-08-04T18:57:10.473682Z digest=sha256:f9a11d340ae0811db70ad9eeb81dd19be5c6cd99c9285134b11a41f82f056271

Observation 20ffdb13-cd73-450e-b152-64d797342461 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 72

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:57:10.476425Z digest=sha256:95bceebd5a59096881f394dea1508cd3d2134432be0924c93fdc1821051a7c7e

Observation 40fdc2c7-ca61-469c-be4d-40931c53d745 · outbound

This paper cites an unresolved cited work.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Unresolved cited work

Reference 73

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:57:10.479240Z digest=sha256:c414edcba2c0dfe664af40dd2443bf5c8978b262c16e8fe440bf281e3a7c058d

Observation 81a29599-2cf5-46d8-95e2-9cf896c8d1c6 · outbound

This paper cites Hoianimator: Generating text-prompt human-object anima- tions using novel perceptive diffusion models.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Hoianimator: Generating text-prompt human-object anima- tions using novel perceptive diffusion models

Reference 74

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source=pdf_text observed=2026-08-04T18:57:10.482367Z digest=sha256:b8c6de9d3b7cb84d900f23beee81ccadc85b4442ef9a2a2a02fbe034a6f393a7

Observation d415f0c0-60b9-450a-95ae-0bff93f416fb · outbound

This paper cites Neural state machine for character-scene interactions.ACM Trans.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Neural state machine for character-scene interactions.ACM Trans

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:57:10.485190Z digest=sha256:529cb71e98b9f280ef71d7dd60a5ffc7cedae07faf1ba51c21f1c851110e156a

Observation 05216504-15f8-4571-b926-6747c50b888e · outbound

This paper cites Local motion phases for learning multi-contact char- acter movements.ACM Transactions on Graphics (TOG), 39(4):54–1, 2020.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Local motion phases for learning multi-contact char- acter movements.ACM Transactions on Graphics (TOG), 39(4):54–1, 2020

Reference 76

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source=pdf_text observed=2026-08-04T18:57:10.488215Z digest=sha256:0de8fe39365070e7fdda9db4afd1c573807a972151b9a5affad52cde04d4df1d

Observation 3da2d302-8d29-4f61-b6a8-23a2bc343f95 · outbound

This paper cites GRAB: A dataset of whole-body human grasping of objects.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation GRAB: A dataset of whole-body human grasping of objects

Reference 77

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source=pdf_text observed=2026-08-04T18:57:10.490915Z digest=sha256:6c3f12e343ebe8b927b65bab02f704f889f69e11703beced416edbb2d7bf4421

Observation 15f182c0-884f-4639-949a-b667a96e8179 · outbound

This paper cites GOAL: Generating 4d whole-body motion for hand-object grasping.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation GOAL: Generating 4d whole-body motion for hand-object grasping

Reference 78

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source=pdf_text observed=2026-08-04T18:57:10.493490Z digest=sha256:99e8c9347b58be5dae3e0558c5fc66fd16975fe01e68a54cd1cee068f44d67b9

Observation d5af08e7-6adc-4586-a314-a5efda5971aa · outbound

This paper cites Grip: Generating interaction poses using spatial cues and latent consistency.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Grip: Generating interaction poses using spatial cues and latent consistency

Reference 79

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:57:10.496167Z digest=sha256:1b93ab86316d5ba388d5f750f8eaca8d6fe88703787604e8a14da70efac318c2

Observation 2d7f8d50-bd39-4dea-a4bb-a5ded28b1ebd · outbound

This paper cites Flex: Full-body grasping without full-body grasps.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Flex: Full-body grasping without full-body grasps

Reference 80

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source=pdf_text observed=2026-08-04T18:57:10.498922Z digest=sha256:feb2c989a1cc6f88a32217ca138c872f3844ed8892f12e87221869e9a115bb0a

Observation 33555ad6-ca2e-4db8-8aeb-a050de9874a5 · outbound

This paper cites MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:57:10.501695Z digest=sha256:f46ad957d3fad3bc1c1fbeecbd0963fd9bd08656ff21c366f8ffe47e5eacfcc6

Observation e2860beb-15ad-4f57-946c-80955f53fc00 · outbound

This paper cites Human Motion Diffusion Model.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Human Motion Diffusion Model

Reference 82

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:57:10.504951Z digest=sha256:7921958895b4e9c9ba09320c78d0a5dc7bd341be2e661e3f737b503e5a83b94d

Observation ad3d4ee7-6095-4b3a-8774-c4c25276acc2 · outbound

This paper cites CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control

Reference 83

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:57:10.507907Z digest=sha256:b1d8f44bb2cff3c6f71f64be9f319f6ef5afd0be5f91ba72a043f67ab0afb912

Observation 79fceed7-0807-4416-accb-5773f7eb00f1 · outbound

This paper cites Gaze-guided hand-object in- teraction synthesis: Benchmark and method.arXiv preprint arXiv:2403.16169, 2024.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Gaze-guided hand-object in- teraction synthesis: Benchmark and method.arXiv preprint arXiv:2403.16169, 2024

Reference 84

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source=pdf_text observed=2026-08-04T18:57:10.510897Z digest=sha256:1167c4a2bb5704d4790b921bcb93fb6074969218f395cc0d82735586754a6e1a

Observation 2c5d23de-30e8-4074-9bd2-2b1ad31357ad · outbound

This paper cites Learn to predict how hu- mans manipulate large-sized objects from interactive mo- tions.IEEE Robotics and Automation Letters, 2022.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Learn to predict how hu- mans manipulate large-sized objects from interactive mo- tions.IEEE Robotics and Automation Letters, 2022

Reference 85

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source=pdf_text observed=2026-08-04T18:57:10.513658Z digest=sha256:92b30102f2e2875baac96a58b4fa751bccf6a2b6cc20328fb8e8570e197cd323

Observation 6d19cb72-ee86-4b27-930a-4ac0df85c6b4 · outbound

This paper cites Strategy and skill learning for physics-based table tennis animation.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Strategy and skill learning for physics-based table tennis animation

Reference 86

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source=pdf_text observed=2026-08-04T18:57:10.516542Z digest=sha256:5cf90550fea787fc2cb487b9bf79826e718b750b6c1b0877479e380a81c3f70b

Observation 2c0c882b-376a-4b1f-bc2c-fee634c0a7ce · outbound

This paper cites Reconstructing action- conditioned human-object interactions using commonsense knowledge priors.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Reconstructing action- conditioned human-object interactions using commonsense knowledge priors

Reference 87

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source=pdf_text observed=2026-08-04T18:57:10.519610Z digest=sha256:e39bb2df43322bd78333b01381135241a3760a67fc8931e07a68fc819e8b66ea

Observation 596ce76f-5dc1-4e55-a2a9-07c4153fe0cb · outbound

This paper cites PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction

Reference 88

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source=pdf_text observed=2026-08-04T18:57:10.522585Z digest=sha256:e77e48da53f98e0468e5680289ed577841d5ffc073ee64a6438fc506b4f24ed6

Observation 93f6fbb2-c424-44c1-aa62-28a3be37c148 · outbound

This paper cites SkillMimic: Learning Basketball Interaction Skills from Demonstrations.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation SkillMimic: Learning Basketball Interaction Skills from Demonstrations

Reference 89

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source=pdf_text observed=2026-08-04T18:57:10.525477Z digest=sha256:a859c53b8647f757e55c3d182cdb343f777d414f45a25494f8a1ac2ebea93ee5

Observation af955355-2e84-43ef-abf7-a71bbd7660e7 · outbound

This paper cites InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint

Reference 90

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source=pdf_text observed=2026-08-04T18:57:10.528751Z digest=sha256:e70bfb5d59293aaf207b992f09aab2aa59b60f83dadd977e19c1fefdabc4aec5

Observation 699a910a-814c-46fe-bd8c-c3306ec594f2 · outbound

This paper cites Hoh: Markerless mul- timodal human-object-human handover dataset with large object count.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Hoh: Markerless mul- timodal human-object-human handover dataset with large object count

Reference 91

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source=pdf_text observed=2026-08-04T18:57:10.531696Z digest=sha256:8b90cb7bbf5705de91ab1e502df207cb53f6ae96ff4eb861f65018ec4b343b67

Observation 97b81963-9881-4a7e-84f7-265f1c58bae5 · outbound

This paper cites Daydreamer: World models for physical robot learning.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Daydreamer: World models for physical robot learning

Reference 92

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source=pdf_text observed=2026-08-04T18:57:10.534462Z digest=sha256:6dbc4d3e53bc895045acdb8b9d44ffbdca582d839aabe9caf7d9cc21fb3fee04

Observation b7bfc99c-09ba-4a63-bed7-874073550bb5 · outbound

This paper cites THOR: Text to Human-Object Interaction Diffusion via Relation Intervention.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation THOR: Text to Human-Object Interaction Diffusion via Relation Intervention

Reference 93

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source=pdf_text observed=2026-08-04T18:57:10.537392Z digest=sha256:875e3366e75ab400e4ecff8aa118a96894a926d7c9954bfadca4b512f02f50e5

Observation 05885fe2-f155-4e63-b11e-b3608e762b68 · outbound

This paper cites SAGA: Stochastic whole- body grasping with contact.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation SAGA: Stochastic whole- body grasping with contact

Reference 94

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source=pdf_text observed=2026-08-04T18:57:10.540316Z digest=sha256:194523d12dedb314b340d895d5ff0154069f5140a59474351369c2b7b42c6645

Observation 6785d5c9-61de-4cbe-ab95-ff290af3644c · outbound

This paper cites Human-Object Interaction from Human-Level Instructions.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Human-Object Interaction from Human-Level Instructions

Reference 95

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source=pdf_text observed=2026-08-04T18:57:10.542988Z digest=sha256:596a82bd3f7cbfd38589aa0fc47f022e498081420348a7d2d0596f9c247dc3f0

Observation 22e9faf8-118d-4655-b0b3-8611581c86cc · outbound

This paper cites Chore: Contact, human and object reconstruction from a single rgb image.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Chore: Contact, human and object reconstruction from a single rgb image

Reference 96

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source=pdf_text observed=2026-08-04T18:57:10.546016Z digest=sha256:fceda7a02748c11300a6ee739e55680f857d686a78b2cb653c5814aeb9a043dc

Observation 6972b270-e9a8-486f-b319-1b61e85aaeb0 · outbound

This paper cites InterTrack: Tracking Human Object Interaction without Object Templates.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation InterTrack: Tracking Human Object Interaction without Object Templates

Reference 97

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source=pdf_text observed=2026-08-04T18:57:10.548615Z digest=sha256:55a48b795858abb7546e70252a4558b56005639fb97fc0b76de2175a886de4ca

Observation 8a7d68b0-d91f-40cb-92fb-c429658b2d43 · outbound

This paper cites OmniControl: Control Any Joint at Any Time for Human Motion Generation.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation OmniControl: Control Any Joint at Any Time for Human Motion Generation

Reference 98

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source=pdf_text observed=2026-08-04T18:57:10.551522Z digest=sha256:4ef0345c44409927b7c1df700a16af5c26487b1d332fe1722dbcf4beee98c09f

Observation e6be3d86-3811-4d3e-a51d-5d090ef0fd08 · outbound

This paper cites Learning soccer juggling skills with layer- wise mixture-of-experts.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Learning soccer juggling skills with layer- wise mixture-of-experts

Reference 99

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source=pdf_text observed=2026-08-04T18:57:10.554448Z digest=sha256:b1fe3c4d8fae3185df1d52e01a8ceb1ebdefa1ed0395025428759b1f44760b2f

Observation ea82cf21-8b9c-4bde-a1be-ccc95b691262 · outbound

This paper cites Hierarchical Planning and Control for Box Loco-Manipulation.

InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Hierarchical Planning and Control for Box Loco-Manipulation

Reference 100

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:57:10.556979Z digest=sha256:7458c9d8ffbb48b83d0c7e2f8c4cf6a5a2667494c6e5df24613744f9e223324d

Pith citing papers

No inbound Pith citation observations are available.