SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Figure 14: Automated image captioning with MiniGPT4 [94] on MVImgNet [92]. We can observe how the captioning tool hallucinated descriptions that do not match the input image, which leads to text-to-3D diffusion model learning not to adhere to every detail in the input prompt. We believe that better captioning systems should help alleviate this issue in the future
The chandelier is a white, ornate light fixture hanging from a black ceiling.
The object is a small, white tower with a pointed top
The cylindrical object is made of gray metal and has a round base with a small handle on top.
The object is a red, smiling face on a yellow background
The object is a black and white image of a cat sitting on a white background
The image is a black background with the words "one das caps" in white letters.
The object is a black and red robot with wheels on the bottom
The object is a waffle with a round shape and a golden brown color.
The object is a small, green tree with a single leaf on top, standing on a rock..png
The object is a small, white bird perched on a branch with a blue sky in the background
The image shows a cartoon character wearing a blue and white outfit, holding a spear in one hand and standing on a rocky surface.
The fish is a yellow and brown striped discus fish.