Media Summary: R. Dabral, M. H. Mughal, V. Golyanik, C. Theobalt. Paper abstract: Conventional methods for human Ziqi Huang, Kelvin C.K. Chan, Yuming Jiang, Ziwei Liu Code:

Cvpr 2023 Mofusion A Framework For Denoising Diffusion Based Motion Synthesis - Detailed Analysis & Overview

R. Dabral, M. H. Mughal, V. Golyanik, C. Theobalt. Paper abstract: Conventional methods for human Ziqi Huang, Kelvin C.K. Chan, Yuming Jiang, Ziwei Liu Code: DiffusioNeRF: Regularizing Neural Radiance Fields with ProcessMaker: A Generalized Process Visualization Thanks to the invitation from , this is the presentation video of our work at

Significant advancements made in reconstructing hands from images have delivered accurate single- PixARMesh is a mesh-native autoregressive A. Ghosh, R. Dabral, V. Golyanik, C. Theobalt and P. Slusallek. IMoS: Intent-Driven Full-Body We present Articulated Kinematics Distillation (AKD), a

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[CVPR 2023] MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. In CVPR, 2023
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. In CVPR, 2023
[CVPR 2023] QPGesture Demo
[CVPR 2023] Collaborative Diffusion for Multi-Modal Face Generation and Editing
CVPR 2026: MotionEnhancer
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion - CVPR 2023 Highlight
[CVPR 2026] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
[CVPR 2026] ProcessMaker
CVPR 2026 - Beyond Scanpaths: Graph-Based Gaze Simulation in Dynamic Scenes
[CVPR 2026] Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation
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[CVPR 2023] MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis

[CVPR 2023] MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis

R. Dabral, M. H. Mughal, V. Golyanik, C. Theobalt.

MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. In CVPR, 2023

MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. In CVPR, 2023

Paper abstract: Conventional methods for human

MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. In CVPR, 2023

MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. In CVPR, 2023

Paper abstract: Conventional methods for human

[CVPR 2023] QPGesture Demo

[CVPR 2023] QPGesture Demo

QPGesture: Quantization-

[CVPR 2023] Collaborative Diffusion for Multi-Modal Face Generation and Editing

[CVPR 2023] Collaborative Diffusion for Multi-Modal Face Generation and Editing

Ziqi Huang, Kelvin C.K. Chan, Yuming Jiang, Ziwei Liu Code: https://github.com/ziqihuangg/Collaborative-

CVPR 2026: MotionEnhancer

CVPR 2026: MotionEnhancer

Video presentation for the

MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion - CVPR 2023 Highlight

MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion - CVPR 2023 Highlight

MotionDiffuser: Controllable Multi-Agent

[CVPR 2026] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

[CVPR 2026] MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

How much do video

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

DiffusioNeRF: Regularizing Neural Radiance Fields with

[CVPR 2026] ProcessMaker

[CVPR 2026] ProcessMaker

ProcessMaker: A Generalized Process Visualization

CVPR 2026 - Beyond Scanpaths: Graph-Based Gaze Simulation in Dynamic Scenes

CVPR 2026 - Beyond Scanpaths: Graph-Based Gaze Simulation in Dynamic Scenes

Our

[CVPR 2026] Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation

[CVPR 2026] Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation

Thanks to the invitation from @ComputerVisionFoundation, this is the presentation video of our work at

[CVPR'24] Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model

[CVPR'24] Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model

Project Page: https://thuhcsi.github.io/S2G-MDDiffusion/

CVPR 2026 Highlight: Physics-Aware Diffusion for Hand Motion Recovery (PAD-Hand)

CVPR 2026 Highlight: Physics-Aware Diffusion for Hand Motion Recovery (PAD-Hand)

Significant advancements made in reconstructing hands from images have delivered accurate single-

[CVPR 2026] PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction

[CVPR 2026] PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction

PixARMesh is a mesh-native autoregressive

[EUROGRAPHICS 2023] IMoS: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions

[EUROGRAPHICS 2023] IMoS: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions

A. Ghosh, R. Dabral, V. Golyanik, C. Theobalt and P. Slusallek. IMoS: Intent-Driven Full-Body

[CVPR 2025] Articulated Kinematics Distillation from Video Diffusion Models

[CVPR 2025] Articulated Kinematics Distillation from Video Diffusion Models

We present Articulated Kinematics Distillation (AKD), a

[CVPR'26] 3D-Aware Implicit Motion Control for View-Adaptive Human Video Generation

[CVPR'26] 3D-Aware Implicit Motion Control for View-Adaptive Human Video Generation

Project Page: https://hjrphoebus.github.io/3DiMo/