mlsanityData to 7 Oct 2026

ContactGen: Contact-Guided Interactive 3D Human Generation for Partners

arXiv 2401.17212 ↗First posted 30 Jan 2024cs.CVcited by 3

On the map: Diffusion models → Video generation

Abstract (arXiv)

Among various interactions between humans, such as eye contact and gestures, physical interactions by contact can act as an essential moment in understanding human behaviors. Inspired by this fact, given a 3D partner human with the desired interaction label, we introduce a new task of 3D human generation in terms of physical contact. Unlike previous works of interacting with static objects or scenes, a given partner human can have diverse poses and different contact regions according to the type of interaction. To handle this challenge, we propose a novel method of generating interactive 3D humans for a given partner human based on a guided diffusion framework. Specifically, we newly present a contact prediction module that adaptively estimates potential contact regions between two input humans according to the interaction label. Using the estimated potential contact regions as complementary guidances, we dynamically enforce ContactGen to generate interactive 3D humans for a given partner human within a guided diffusion model. We demonstrate ContactGen on the CHI3D dataset, where our method generates physically plausible and diverse poses compared to comparison methods.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Placed in Video generation, one of 14 directions in Diffusion models. Builds on 24 of its 38 references that are in the map. First posted on arXiv 30 Jan 2024.

Builds on

24 of 38 references.

Closest ancestors · 3

Same direction, newest first

  1. 2023Generative Proxemics: A Prior for 3D Social Interaction from Images15 Jun
  2. 2022PhysDiff: Physics-Guided Human Motion Diffusion Model5 Dec
  3. 2022FLAME: Free-form Language-based Motion Synthesis & Editing1 Sep

Other references · 21

  1. 2017Attention Is All You Needcited by 59,932
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2019Expressive Body Capture: 3D Hands, Face, and Body from a Single Imagecited by 1,600
  5. 2017A Closer Look at Spatiotemporal Convolutions for Action Recognitioncited by 1,139
  6. 2021Action-Conditioned 3D Human Motion Synthesis with Transformer VAEcited by 497
  7. 2022TEMOS: Generating diverse human motions from textual descriptionscited by 486
  8. 2020Action2Motion: Conditioned Generation of 3D Human Motionscited by 438
  9. 2017Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBcited by 195
  10. 2020TDN: Temporal Difference Networks for Efficient Action Recognitioncited by 183
  11. 2020Populating 3D Scenes by Learning Human-Scene Interactioncited by 164
  12. 2021GOAL: Generating 4D Whole-Body Motion for Hand-Object Graspingcited by 142
9 more
  1. 2021ContactOpt: Optimizing Contact to Improve Graspscited by 137
  2. 2023Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generationcited by 128
  3. 2019Generating 3D People in Scenes without Peoplecited by 127
  4. 2021SAGA: Stochastic Whole-Body Grasping with Contactcited by 89
  5. 2023Hi4D: 4D Instance Segmentation of Close Human Interactioncited by 87
  6. 2022Compositional Human-Scene Interaction Synthesis with Semantic Controlcited by 82
  7. 2022MIME: Human-Aware 3D Scene Generationcited by 57
  8. 2022MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labelscited by 45
  9. 2022Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embeddingcited by 6

Built on by

Cited by year

Citing papers per year: 2025: 3.

3 papers.

  1. 2025Ready-to-React: Online Reaction Policy for Two-Character Interaction Generationcited by 25
  2. 2025E-React: Towards Emotionally Controlled Synthesis of Human Reactionscited by 2
  3. 2025Decoupled Generative Modeling for Human-Object Interaction Synthesiscited by 2

Similar, not cited

Close in wording, no citation either way

  1. 2025Interact2Ar: Full-Body Human-Human Interaction Generation via Autoregressive Diffusion Models
  2. 2023Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
  3. 2023InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
  4. 2025InteractVLM: 3D Interaction Reasoning from 2D Foundational Models
  5. 2024Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction
  6. 2023HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models
  7. 2024AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation
  8. 2025Multi-Person Interaction Generation from Two-Person Motion Priors