OREO: Fidelity Alignment in 3D Generation via On-the-fly Rendering-Editing Optimization

arXiv:2609.29788 · cs.CV, cs.GR · Submitted 2026-09-24 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Fidelity — 51× in this paper · explained in 2 episodes
• Reinforced Editing — 28× in this paper
• Alignment — 22× in this paper · explained in 1 episode
• Distillation — 15× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Consistency — 8× in this paper · explained in 3 episodes
• Classifier-Free Guidance — 5× in this paper
• Ablation study — 4× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Flow Matching — 3× in this paper · explained in 8 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Computational overhead — 2× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Decode — 2× in this paper · explained in 2 episodes
• Google Scanned Objects — 2× in this paper
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Closed-Loop Optimization — 1× in this paper · explained in 2 episodes
• Distribution Matching — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Flow Matching Model — 1× in this paper · explained in 2 episodes
• Gaussian Splatting — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• MvDrag3D: Drag-based Creative 3D Editing via Multi-view Generation-Reconstruction Priors
• Hyper3D: Efficient 3D Representation via Hybrid Triplane and Octree Feature for Enhanced 3D Shape Variational Auto-Encoders
• Memorize When Needed: Decoupled Memory Control for Spatially Consistent Long-Horizon Video Generation
• Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
• Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details
• Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets
• TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
• DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
• DreamFusion: Text-to-3D using 2D Diffusion
• Emu Edit: Precise Image Editing via Recognition and Generation Tasks
• DINOv3
• One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image
• Qwen-Image Technical Report
• Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
• Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

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