InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing | Paper Citation Record

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This paper cites GPT-4 Technical Report.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing GPT-4 Technical Report

Reference 1

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This paper cites Behave: Dataset and method for tracking human object in- teractions.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Behave: Dataset and method for tracking human object in- teractions

Reference 2

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InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Unresolved cited work

Reference 3

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This paper cites Dreamavatar: Text-and-shape guided 3d hu- man avatar generation via diffusion models.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Dreamavatar: Text-and-shape guided 3d hu- man avatar generation via diffusion models

Reference 4

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This paper cites Realtime multi-person 2d pose estimation using part affin- ity fields.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Realtime multi-person 2d pose estimation using part affin- ity fields

Reference 5

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This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation

Reference 6

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This paper cites Comboverse: Compositional 3d as- sets creation using spatially-aware diffusion guidance.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Comboverse: Compositional 3d as- sets creation using spatially-aware diffusion guidance

Reference 7

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This paper cites Syn- thesis and optimization of force closure grasps via sequential semidefinite programming.Robotics Research: Volume 1, pages 285–305, 2018.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Syn- thesis and optimization of force closure grasps via sequential semidefinite programming.Robotics Research: Volume 1, pages 285–305, 2018

Reference 8

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This paper cites In- terfusion: Text-driven generation of 3d human-object inter- action.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing In- terfusion: Text-driven generation of 3d human-object inter- action

Reference 9

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Gemini: A Family of Highly Capable Multimodal Models

Reference 10

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This paper cites Kaolin: A pytorch library for accelerating 3d deep learning re- search.https://github.com/NVIDIAGameWorks/ kaolin, 2022.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Kaolin: A pytorch library for accelerating 3d deep learning re- search.https://github.com/NVIDIAGameWorks/ kaolin, 2022

Reference 11

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This paper cites Graphdreamer: Compositional 3d scene synthesis from scene graphs.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Graphdreamer: Compositional 3d scene synthesis from scene graphs

Reference 12

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This paper cites Diffpose: Toward more reliable 3d pose estimation.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Diffpose: Toward more reliable 3d pose estimation

Reference 13

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This paper cites Human poseitioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Human poseitioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors

Reference 14

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This paper cites Chorus: Learning canon- icalized 3d human-object spatial relations from unbounded synthesized images.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Chorus: Learning canon- icalized 3d human-object spatial relations from unbounded synthesized images

Reference 15

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InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Unresolved cited work

Reference 16

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Observation bce008d3-0ac8-4c9b-b660-b93137f4811a · outbound

This paper cites AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

Reference 17

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This paper cites Gauhuman: Articu- lated gaussian splatting from monocular human videos.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Gauhuman: Articu- lated gaussian splatting from monocular human videos

Reference 18

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This paper cites Robust Watertight Manifold Surface Generation Method for ShapeNet Models.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Robust Watertight Manifold Surface Generation Method for ShapeNet Models

Reference 19

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This paper cites Full-body articulated human-object interaction.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Full-body articulated human-object interaction

Reference 20

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This paper cites Scaling up dynamic human-scene interaction model- ing.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Scaling up dynamic human-scene interaction model- ing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:36.772744Z

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This paper cites End-to-end recovery of human shape and pose.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing End-to-end recovery of human shape and pose

Reference 22

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This paper cites Maximizing parallelism in the construc- tion of bvhs, octrees, and k-d trees.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Maximizing parallelism in the construc- tion of bvhs, octrees, and k-d trees

Reference 23

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This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (TOG), 42(4):139–1, 2023.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (TOG), 42(4):139–1, 2023

Reference 24

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This paper cites Beyond the contact: Discovering comprehensive affordance for 3d objects from pre-trained 2d diffusion models.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Beyond the contact: Discovering comprehensive affordance for 3d objects from pre-trained 2d diffusion models

Reference 25

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

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Object motion guided human motion synthesis.ACM Transactions on Graphics (TOG), 42(6):1–11, 2023

Reference 26

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This paper cites Controllable human-object interaction synthesis.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Controllable human-object interaction synthesis

Reference 27

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This paper cites Genzi: Zero-shot 3d human-scene in- teraction generation.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Genzi: Zero-shot 3d human-scene in- teraction generation

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This paper cites Magic3d: High-resolution text-to-3d content creation.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Magic3d: High-resolution text-to-3d content creation

Reference 29

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Observation 5bfd788e-ca8e-4cf0-94a9-a9f45a1d09d7 · outbound

This paper cites One-stage 3d whole-body mesh recovery with component aware transformer.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing One-stage 3d whole-body mesh recovery with component aware transformer

Reference 30

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This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Zero-1-to-3: Zero-shot one image to 3d object

Reference 31

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InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Unresolved cited work

Reference 32

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Observation 173a8ea6-4fa7-4a1c-adf5-6b0c3e2d8969 · outbound

This paper cites Humangaus- sian: Text-driven 3d human generation with gaussian splat- ting.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Humangaus- sian: Text-driven 3d human generation with gaussian splat- ting

Reference 33

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This paper cites Syncdreamer: Gen- erating multiview-consistent images from a single-view im- age.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Syncdreamer: Gen- erating multiview-consistent images from a single-view im- age

Reference 34

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This paper cites Wonder3d: Sin- gle image to 3d using cross-domain diffusion.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Wonder3d: Sin- gle image to 3d using cross-domain diffusion

Reference 35

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InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Unresolved cited work

Reference 36

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This paper cites Srinivasan, Matthew Tancik, Jonathan T.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Srinivasan, Matthew Tancik, Jonathan T

Reference 37

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Observation bd7231b9-363b-45c6-83f8-a85d591a9df7 · outbound

This paper cites Partnet: A large- scale benchmark for fine-grained and hierarchical part-level 3d object understanding.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Partnet: A large- scale benchmark for fine-grained and hierarchical part-level 3d object understanding

Reference 38

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Observation 6599f09f-20bc-4d42-9613-8f9be9e1fa32 · outbound

This paper cites Gpt-3.5.https://platform.openai.com/ docs/models/gpt-3-5, 2023.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Gpt-3.5.https://platform.openai.com/ docs/models/gpt-3-5, 2023

Reference 39

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InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Unresolved cited work

Reference 40

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Observation 0046c9ea-27db-42b8-b70d-bddd04d9cdc0 · outbound

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

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models

Reference 41

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Observation b7f677aa-bec7-4101-93a0-1ce9326cef0c · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 42

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Observation 2eb95b75-d44d-4702-8a8c-1049e1538ac9 · outbound

This paper cites Dreamfusion: Text-to-3d using 2d diffusion.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Dreamfusion: Text-to-3d using 2d diffusion

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:32.512312Z

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Observation 97f3db08-eb09-4785-8fe3-50733e01d324 · outbound

This paper cites Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Askell Amanda, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Askell Amanda, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:32.367270Z

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Observation 57ae142d-85f4-4d6b-b2cf-6cf438683c7e · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 45

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Observation 5e1f11c6-49ce-4666-906e-0a370e7b2638 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing High-resolution image syn- thesis with latent diffusion models

Reference 46

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Observation b2e38205-b5c1-4d76-b95b-613b2dfdbb7b · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing High-resolution image synthesis with latent diffusion models

Reference 47

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Observation 269fa7aa-d000-4dbe-9b5e-d375de924f65 · outbound

This paper cites Em- bodied hands: modeling and capturing hands and bodies to- gether.ACM Transactions on Graphics (TOG), 36(6):1–17,.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Em- bodied hands: modeling and capturing hands and bodies to- gether.ACM Transactions on Graphics (TOG), 36(6):1–17,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:32.024914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b28c8125-fcc9-4bb9-837e-9387b3c44f3f · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:31.805285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9fbd90b6-7a4b-421f-94f6-4e987de201c3 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Photorealistic text-to-image diffusion models with deep language understanding

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:27.341450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8486b070-3a80-4faf-9deb-c566fb2e561e · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:27.452697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9491dfe-a3c9-402a-b6e3-5f49c86cb9f2 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing MVDream: Multi-view Diffusion for 3D Generation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:27.602865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b8f938f-af8b-4b38-a23c-9cc77089cb9b · outbound

This paper cites Grab: A dataset of whole-body human grasp- ing of objects.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Grab: A dataset of whole-body human grasp- ing of objects

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:31.585735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe2ab362-6919-4c58-a9c0-48cfeaaa4520 · outbound

This paper cites Deco: Dense estimation of 3d human-scene contact in the wild.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Deco: Dense estimation of 3d human-scene contact in the wild

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:31.365989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84a2b3ca-f727-45a8-8493-5ed17b81d512 · outbound

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

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Reconstructing action- conditioned human-object interactions using commonsense knowledge priors

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:31.174759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b1fcb357-2409-466d-a9fe-5edfb4387425 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:30.960475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afe0f078-1466-4864-924c-163e3339cc7e · outbound

This paper cites Srinivasan, Jonathan T.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Srinivasan, Jonathan T

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:30.801500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 587b5ae1-8250-4907-af46-655f05e25e3a · outbound

This paper cites InterDiff: Generating 3d human-object interactions with physics-informed diffusion.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing InterDiff: Generating 3d human-object interactions with physics-informed diffusion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:30.570897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a47186b5-86ad-4e1c-a459-0cae0765b661 · outbound

This paper cites Inter- dreamer: Zero-shot text to 3d dynamic human-object inter- action.Advances in Neural Information Processing Systems, 37:52858–52890, 2024.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Inter- dreamer: Zero-shot text to 3d dynamic human-object inter- action.Advances in Neural Information Processing Systems, 37:52858–52890, 2024

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:30.407736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac0d31af-10aa-4bd3-b25d-b99ebcf4f78d · outbound

This paper cites Generating human interaction motions in scenes with text control.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Generating human interaction motions in scenes with text control

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:30.258402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 710b7347-e420-4c29-be77-3c537a0bd735 · outbound

This paper cites Whac: World-grounded hu- mans and cameras.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Whac: World-grounded hu- mans and cameras

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:30.101571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0afaa77-f5aa-4018-a077-eaa6d79be4b8 · outbound

This paper cites Pymaf-x: To- wards well-aligned full-body model regression from monoc- ular images.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 45:12287–12303, 2023.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Pymaf-x: To- wards well-aligned full-body model regression from monoc- ular images.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 45:12287–12303, 2023

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:29.987265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40014f15-d665-4c88-8bb5-31ba1f88acf0 · outbound

This paper cites Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:29.823834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6849bd03-f493-4da2-a4df-71ec36508100 · outbound

This paper cites Zhang, Sam Pepose, Hanbyul Joo, Deva Ra- manan, Jitendra Malik, and Angjoo Kanazawa.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Zhang, Sam Pepose, Hanbyul Joo, Deva Ra- manan, Jitendra Malik, and Angjoo Kanazawa

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:29.657900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2138a9dd-6f82-4e15-a8dc-062ead5f4573 · outbound

This paper cites Humannerf: Efficiently gen- erated human radiance field from sparse inputs.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Humannerf: Efficiently gen- erated human radiance field from sparse inputs

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:34:29.503854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e50db607-bbad-4cac-a0c6-08cc28e3d6ff · outbound

This paper cites an unresolved cited work.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:34:29.351635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 525fa60a-83ae-4851-bc7e-07f822574b16 · outbound

This paper cites DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors.

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:29.029262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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