Generative Semantic Scene Completion

arXiv:2608.26737 · cs.CV, cs.LG, cs.RO · Submitted 2026-08-27 · Read on arXiv

cs.CV, cs.LG, cs.RO

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/BillyChern/GSSC-S2D2

Terminology

• Conference on Computer Vision and Pattern Recognition — 11× in this paper
• Diffusion Model — 10× in this paper · explained in 8 episodes
• Diffusion Models — 9× in this paper · explained in 6 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Distillation — 5× in this paper · explained in 2 episodes
• Flow Matching — 5× in this paper · explained in 8 episodes
• Trace — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Point Clouds — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Calibration — 3× in this paper · explained in 7 episodes
• International Conference on Learning Representations — 3× in this paper
• International Conference on Machine Learning — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Semantic-Guided Generative Scene Completion — 2× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Entropy Collapse — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Intelligent Vehicles Symposium — 1× in this paper
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Over-smoothing — 1× in this paper · explained in 4 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• TAKES THE VULNERABLE ROAD USER — 1× in this paper

Sources

• Octree Diffusion for Semantic Scene Generation and Completion
• Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
• Enhancing 3D Semantic Scene Completion with a Refinement Module
• ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
• I$^2$SB: Image-to-Image Schr\"odinger Bridge
• BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
• Denoising Diffusion Bridge Models

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