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README.md

@@ -11,13 +11,9 @@ tags:
 
 # 🫧 Learn2Splat: Learned Optimizer for 3D Gaussian Splatting
 
-**Learn2Splat** is a meta-learned optimizer for **3D Gaussian Splatting
-(3DGS)** that replaces hand-designed optimizers (e.g., Adam/SGD) with a
-learned update rule.
+**Learn2Splat** is a meta-learned optimizer for **3D Gaussian Splatting (3DGS)** that replaces hand-designed optimizers (e.g., Adam/SGD) with a learned update rule.
 
-It improves early convergence speed while remaining stable over long
-optimization horizons---without requiring learning-rate schedules or
-time-step conditioning.
+It improves early convergence speed while remaining stable over long optimization horizons without requiring learning-rate schedules or time-step conditioning.
 
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@@ -31,8 +27,7 @@ time-step conditioning.
 
 ## ⚙️ Overview
 
-Learn2Splat learns to optimize Gaussian scene representations by
-directly predicting structured parameter updates.
+Learn2Splat learns to optimize Gaussian scene representations by directly predicting structured parameter updates.
 
 Key properties:
 
@@ -41,8 +36,7 @@ Key properties:
 -   Stable long-horizon optimization without LR schedules
 -   Zero-shot generalization to unseen scenes and resolutions
 
-The model is trained across many scenes and applied without fine-tuning
-at test time.
+The model is trained across many scenes and applied without fine-tuning at test time.
 
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@@ -53,7 +47,7 @@ This repository includes pretrained weights for:
 -   Learn2SplatSparse: sparse-view reconstruction
 -   Learn2SplatDense: dense-view reconstruction
 
-See (https://huggingface.co/autonomousvision/learn2splat/blob/main/MODEL_ZOO.md)[MODEL_ZOO.md] for details.
+See [MODEL_ZOO.md](https://huggingface.co/autonomousvision/learn2splat/blob/main/MODEL_ZOO.md) for details.
 
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