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Generating 3D Models with Diffusion - Computerphile
[EUROGRAPHICS 2023] IMoS: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions
PhysDiff: Physics-Guided Human Motion Diffusion Model
Modeling 4D Human-Object Interactions for Event and Object Recognition
The physics behind diffusion models
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data
[ICCV 2025] PHD: Personalized 3D Human Body Fitting with Point Diffusion
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion (ICCV'2023)
3D Simulation of Objects. Demonstration of The Physics of Object Interaction
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Last Updated: October 17, 2026
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Project: juzezhang.github.io/NeuralDome/ Project page: binlee26.github.io/InterAgent-Page/ Arxiv: arxiv.org/pdf/2512.07410 Abstract: Humanoid agents are ... 5min video introduction to our CVPR'24 paper: Template Free Reconstruction of A. Ghosh, R. Dabral, V. Golyanik, C. Theobalt and P. Slusallek. IMoS: Intent-Driven Full- by Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz IEEE/CVF International Conference on Computer Vision (ICCV), ... Project: ziyaerkoc.com/hyperdiffusion Implicit neural fields, typically encoded by a multilayer perceptron (MLP) that maps ... The composition demonstrates the
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