Artificial intelligence-based image processing method and apparatus, electronic device, and computer-readable storage medium

An artificial intelligence-based image processing apparatus, comprising:

• at least one memory, configured to store computer-executable instructions;
• and
• at least one processor, configured to, when executing the computer-executable instructions stored in the at least one memory, implement:
• performing noise addition on an object image to obtain a noisy image encoding vector;
• performing text encoding on an action instruction text to obtain a first action text encoding vector;
• denoising the noisy image encoding vector based on the first action text encoding vector to obtain a first action image, the denoising based on the first action text encoding vector being performed iteratively, a denoising result of a current round of the denoising being an input of a next round of the denoising, and the first action image being obtained by decoding a denoising result of a final round of the denoising;
• updating the first action text encoding vector based on a difference between the first action image and the object image to obtain a second action text encoding vector;
• performing fusion processing on the first action text encoding vector and the second action text encoding vector to obtain a fused action text encoding vector;
• and
• denoising the noisy image encoding vector based on the fused action text encoding vector to obtain a second action image, the second action image being a result of applying an action corresponding to the action instruction text to an object comprised in the object image.

A non-transitory computer-readable storage medium, having computer-executable instructions stored thereon, the computer-executable instructions, when executed by at least one processor, causing the at least one processor to implement:

• performing noise addition on an object image to obtain a noisy image encoding vector;
• performing text encoding on an action instruction text to obtain a first action text encoding vector;
• denoising the noisy image encoding vector based on the first action text encoding vector to obtain a first action image, the denoising based on the first action text encoding vector being performed iteratively, a denoising result of a current round of the denoising being an input of a next round of the denoising, and the first action image being obtained by decoding a denoising result of a final round of the denoising;
• updating the first action text encoding vector based on a difference between the first action image and the object image to obtain a second action text encoding vector;
• performing fusion processing on the first action text encoding vector and the second action text encoding vector to obtain a fused action text encoding vector;
• and
• denoising the noisy image encoding vector based on the fused action text encoding vector to obtain a second action image, the second action image being a result of applying an action corresponding to the action instruction text to an object comprised in the object image.