D3GS: Depth, DINO, and RGB Diffusion Co-Guided 3D Gaussian Splatting for Sparse-View Reconstruction

arXiv:2609.22941 · cs.CV · Submitted 2026-09-19 · Read on arXiv

cs.CV

Submitted: 2026-09-19

Updated: 2026-09-19

Terminology

• Gaussian Splatting — 31× in this paper · explained in 4 episodes
• Consistency — 23× in this paper · explained in 3 episodes
• Fidelity — 17× in this paper · explained in 2 episodes
• Diffusion Model — 16× in this paper · explained in 8 episodes
• 3D Gaussian Splatting — 15× in this paper · explained in 2 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Diffusion Models — 7× in this paper · explained in 6 episodes
• Ablation study — 6× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Point Clouds — 5× in this paper · explained in 2 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Bundle Adjustment — 4× in this paper
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Foundation Model — 3× in this paper · explained in 3 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Iterative Refinement — 3× in this paper · explained in 3 episodes
• 3D Gaussian Splatting (3DGS) — 2× in this paper · explained in 4 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Core — 2× in this paper · explained in 2 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Optical Flow — 2× in this paper · explained in 2 episodes
• Anisotropy — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Learned Perceptual Image Patch Similarity — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Peak Signal-to-Noise Ratio — 1× in this paper
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors
• MapAnything: Universal Feed-Forward Metric 3D Reconstruction
• GeoSplat: A Deep Dive into Geometry-Constrained Gaussian Splatting
• SparseGS: Sparse View Synthesis using 3D Gaussian Splatting
• G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior
• Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting
• AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views

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