PAM-ToD: Plug-and-Play Appearance Modeling for Cross-Time-of-Day 3D Gaussian Splatting

arXiv:2610.11572 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Gaussian Splatting — 16× in this paper · explained in 4 episodes
• Adaptation — 12× in this paper · explained in 1 episode
• Ablation — 10× in this paper · explained in 1 episode
• Regularization — 9× in this paper · explained in 3 episodes
• 3D Gaussian Splatting — 8× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Waymo Open Dataset — 4× in this paper
• Accuracy — 3× in this paper · explained in 1 episode
• Actor — 3× in this paper · explained in 3 episodes
• In European Conference on Computer Vision — 3× in this paper
• 3D Gaussian Splatting (3DGS) — 2× in this paper · explained in 4 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Anchor Loss — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Digital Twin — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 1× in this paper
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion 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

• UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
• UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback

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