Media Summary: This is the official oral presentation for our [CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers [CVPR 2025] Decoupling Training-Free Guided Diffusion by ADMM

Cvpr 2025 Adversarial Diffusion Compression - Detailed Analysis & Overview

This is the official oral presentation for our [CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers [CVPR 2025] Decoupling Training-Free Guided Diffusion by ADMM Thanks to the invitation from , this is the presentation video of our work at We present Articulated Kinematics Distillation (AKD), a framework for generating high-fidelity character animations by merging the ... MUST: Modality-Specific Representation-Aware Transformer for

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(CVPR 2025) Adversarial Diffusion Compression for Real-World Image Super-Resolution
[CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers
Visual Generative Modeling workshop@CVPR 2025, morning session
[CVPR 2025] Decoupling Training-Free Guided Diffusion by ADMM
[CVPR 2026] FiDeSR: High-Fidelity and Detail-Preserving One-Step Diffusion Super-Resolution
CVPR 2025 Highlights: AI, Computer Vision, and What’s Next
CVPR 2026 | Diffusion Models Always Change Your Image — Even If You Ask Them Not To
CVPR 2026: MotionEnhancer
[CVPR 2026] Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation
[CVPR 2025] Articulated Kinematics Distillation from Video Diffusion Models
[CVPR 2025 - Short] Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling
[CVPR 2026] MUST
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(CVPR 2025) Adversarial Diffusion Compression for Real-World Image Super-Resolution

(CVPR 2025) Adversarial Diffusion Compression for Real-World Image Super-Resolution

This is the official oral presentation for our

[CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers

[CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers

[CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers

Visual Generative Modeling workshop@CVPR 2025, morning session

Visual Generative Modeling workshop@CVPR 2025, morning session

Visual Generative Modeling workshop,

[CVPR 2025] Decoupling Training-Free Guided Diffusion by ADMM

[CVPR 2025] Decoupling Training-Free Guided Diffusion by ADMM

[CVPR 2025] Decoupling Training-Free Guided Diffusion by ADMM

[CVPR 2026] FiDeSR: High-Fidelity and Detail-Preserving One-Step Diffusion Super-Resolution

[CVPR 2026] FiDeSR: High-Fidelity and Detail-Preserving One-Step Diffusion Super-Resolution

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CVPR 2025 Highlights: AI, Computer Vision, and What’s Next

CVPR 2025 Highlights: AI, Computer Vision, and What’s Next

Experience

CVPR 2026 | Diffusion Models Always Change Your Image — Even If You Ask Them Not To

CVPR 2026 | Diffusion Models Always Change Your Image — Even If You Ask Them Not To

Even when you tell a

CVPR 2026: MotionEnhancer

CVPR 2026: MotionEnhancer

Video presentation for the

[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 2025] Articulated Kinematics Distillation from Video Diffusion Models

[CVPR 2025] Articulated Kinematics Distillation from Video Diffusion Models

We present Articulated Kinematics Distillation (AKD), a framework for generating high-fidelity character animations by merging the ...

[CVPR 2025 - Short] Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling

[CVPR 2025 - Short] Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling

Full demo video here: https://youtu.be/bQD3zj0IbHo.

[CVPR 2026] MUST

[CVPR 2026] MUST

MUST: Modality-Specific Representation-Aware Transformer for

CVPR 2025: Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion

CVPR 2025: Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion

A brief presentation of our