Why AI model 3D model is distorted in image to 3D?

AI-generated 3D models from 2D images often distort because 2D inputs lack depth information or the model’s training data is limited. 2D images don’t include 3D cues (like parallax or texture depth changes), so AI has to infer shape and proportions—this leads to misaligned edges or stretched surfaces if the image has ambiguous lighting, occlusions, or unusual angles. Limited training data (e.g., few object types/views) also makes the model less accurate at interpreting complex features. To reduce distortion, use 2–3 images of the object from different angles or pick an AI tool specialized in your object category (e.g., furniture, characters) to help the model better guess depth.