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Hello, very nice work! I was exploring a bit with the demo and was wondering if there is potential to apply this to character/facial 3D generation? It works pretty well on objects in a one-shot settin…
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We've had an external feature request on whether it's possible to remove the navigation/embodiment (e.g. object manipulation) aspects of tasks through setting a flag (e.g. `embodiment = false`) to try…
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This is a very excellent work. I've tested it. It performs very well for image regression and novel-view thesis on 'single-object'. But when I try to train it with multiple objects from same category,…
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I tested the robustness of the VIMA model for various words.
For example, I modified this task
`Put the {dragged_texture} object in {scene} into the {base_texture} object.`
into
`jfasfo jdfjs {dra…
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## 一言でいうと
Novel Object Captioningタスクで、(1) 画像とキャプションが対となっていないデータの活用/学習、(2) 複数ソースからのデータの活用、(3)pre-training済みのembedding空間の活用を行えるようにした。これにより、zero-shotなデータに対してもcaption生成が可能。手法としては、visual recognition netwo…
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**Performant Rendering**
the default gpu pipeline used in bevy should be one that takes in to consideration concepts from guides like this [https://vkguide.dev/docs/gpudriven/gpu_driven_engines/](u…
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Hi. How do you sample K examples for novel class? Can you describe the stratagy detaily? And the sampling stratagies are the same for different dataset (natural and aerial)?
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We could build a method that takes in a Document, detects whether or not it's an epistolary novel, and then breaks the document up into a dictionary of letters (or a list of Letter objects?). We'll wa…
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At the moment kevlar is painfully slow. We've been philosophizing for a while now whether this was more likely due to the poor cache locality of khmer's Count-Min Sketch implementation or to slow Fast…
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Hi
Could you please explain line 123 and line 124 of the [pybullet_heuristic.py] file? Many thanks for your time and help!!
Best wishes