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@@ -96,7 +96,7 @@ You can toggle the semantic loss by “use_semantic_loss” in configuration fil
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  ## 💎 Performance
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- ### Performance Tables
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  #### 4 Shot Blender Dataset PSNR Result
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  | Scene | Chair | Drums | Ficus | Hotdog | Lego | Materials | Mic | Ship | Mean |
@@ -110,7 +110,7 @@ You can toggle the semantic loss by “use_semantic_loss” in configuration fil
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  </p>
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- ### - Rendering GIF images by 8-shot learned Diet-NeRF
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  DietNeRF has a strong capacity to generalise on novel and challenging views with EXTREMELY SMALL TRAINING SAMPLES!
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  The animations below shows the performance difference between DietNeRF (left) v.s. NeRF (right) with only 4 training images:
@@ -125,7 +125,7 @@ The animations below shows the performance difference between DietNeRF (left) v.
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  ![Text](./assets/ship-dietnerf.gif) ![Alt Text](./assets/ship-nerf.gif)
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- ### - Rendered Rendering images by 4-shot learned Diet-NeRF vs Vanilla-NeRF
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  #### SHIP
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  @ will be filled
@@ -136,7 +136,7 @@ The animations below shows the performance difference between DietNeRF (left) v.
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  #### HOTDOG
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  @ will be filled
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- ### - Rendered examples by occluded 14-shot learned NeRF and Diet-NeRF
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  This result is on the quite initial state and expected to be improved.
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  #### Training poses
 
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  ## 💎 Performance
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+ ### ❗️ Performance Tables
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  #### 4 Shot Blender Dataset PSNR Result
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  | Scene | Chair | Drums | Ficus | Hotdog | Lego | Materials | Mic | Ship | Mean |
 
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  </p>
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+ ### Rendering GIF images by 8-shot learned Diet-NeRF
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  DietNeRF has a strong capacity to generalise on novel and challenging views with EXTREMELY SMALL TRAINING SAMPLES!
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  The animations below shows the performance difference between DietNeRF (left) v.s. NeRF (right) with only 4 training images:
 
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  ![Text](./assets/ship-dietnerf.gif) ![Alt Text](./assets/ship-nerf.gif)
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+ ### Rendered Rendering images by 4-shot learned Diet-NeRF vs Vanilla-NeRF
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  #### SHIP
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  @ will be filled
 
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  #### HOTDOG
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  @ will be filled
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+ ### Rendered examples by occluded 14-shot learned NeRF and Diet-NeRF
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  This result is on the quite initial state and expected to be improved.
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  #### Training poses