Comments (3)
Thank you for your attention!
Your idea is quite interesting. To be frank, we are working on this issue. However, natural language is usually ambiguous. For example, take out some objects
could mean that you want to remove the object from the image, or that others want to extract the region of object in the image. Interestingly, the region of object
is also ambiguous, it can be a bounding box obtained by a detector or a mask calculated by a segmentor. Therefore, as you can see, this problem is very intractable.
Good News: we will release InternGPT v2 as soon as possible. We believe the upgraded version can partly address your issue.
Please stay tuned for our work. 🍻🍻🍻🍻🍻🍻
from interngpt.
Thanks for your response.
I understand that if we give all choices to GPT for the determination of visual models, the processing results will be somewhat unsatisfying.
Currently, it is still a tradeoff between generalization and quality.
from interngpt.
Yep! I can not agree with you more. The next version of iGPT can address this issue.
from interngpt.
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from interngpt.