Visual Generative Modeling Workshop Cvpr2025 Afternoon Session Information Guide

  1. About to Visual Generative Modeling Workshop Cvpr2025 Afternoon Session
  2. Main Features
  3. Latest News
  4. Deep Dive
  5. Final Thoughts

About to Visual Generative Modeling Workshop Cvpr2025 Afternoon Session

Information Visual Generative Modeling workshop@CVPR2025, afternoon session Guide
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Main Features

Full Visual Generative Modeling workshop@CVPR 2025, morning session Guide
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Latest News

Details [CVPR 2025] PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models News
Stay updated on Visual Generative Modeling Workshop Cvpr2025 Afternoon Session's newest achievements.

🛹 RollingDepth: Video Depth without Video Models (CVPR 2025)
🛹 RollingDepth: Video Depth without Video Models (CVPR 2025)
[CVPR 2025] Decoupling Training-Free Guided Diffusion by ADMM
[CVPR 2025] Decoupling Training-Free Guided Diffusion by ADMM
CVPR 2025 Highlight: Parallelized Autoregressive Visual Generation.
CVPR 2025 Highlight: Parallelized Autoregressive Visual Generation.
[GCV @ CVPR25] Yingnian Wu - SlowFast-VGen: Slow-Fast Learning for Action-Driven Video Generation
[GCV @ CVPR25] Yingnian Wu - SlowFast-VGen: Slow-Fast Learning for Action-Driven Video Generation
Curriculum Direct Preference Optimization for Diffusion and Consistency Models (CVPR 2025)
Curriculum Direct Preference Optimization for Diffusion and Consistency Models (CVPR 2025)
[CVPR'25] Workshop on Autonomous Driving (Full Day)
[CVPR'25] Workshop on Autonomous Driving (Full Day)

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: October 23, 2026

Final Thoughts

[GCV @ CVPR25] Kaiming He - Towards End-to-End Generative Modeling News
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Summary

Visual Generative Modeling workshop In this work, we introduce PartGen, a novel method for compositional/part-level 3D generation and reconstruction from various ... Project page: yuqingwang1029.github.io/PAR-project/, Code: github.com/YuqingWang1029/PAR. In this video, we present a novel and enhanced version of DPO based on curriculum learning for text-to-image generation.

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