Fixing AI Rendering Errors: Leveraging Logic, Descriptive Geometry, and Architectural Representation Rules to Enhance Visuals

قواعد الهندسة الوصفية والاظهار المعماري لتصحيح أخطاء ال AI

غالبًا ما تحدث أخطاء كبيرة في اظهار المشاهد بواسطة AI. بالرغم من ان الذكاء الاصطناعي يرندر المشاهد بسرعة فائقة، إلا انه في كثير من الحالات يقوم بأخطاء جوهرية. كادراج السماء مثلا كخلفية حتى لو تم الايعاز بأن المبنى مرئي من الاعلى وبثلاث نقاط تلاشي. لذلك ولتصحيح الأخطاء والتناقضات في الاظهار الناتج عن الذكاء الاصطناعي ، فإنه من المفيد معرفة مفاهيم ومنطق الهندسة الوصفية وتطبيقاتها في الاظهار المعماري للتأكد من أن المشهد النهائي منطقي ومتسق مع ايعازات الوصف التفصيلي التي يكتبها المستخدم.

It is crucial to recognize that understanding the rules of perspective is essential for identifying and rectifying such errors, thereby enhancing the overall appearance of the AI-rendered image.

 استخدام الذكاء الاصطناعي لرندرة سكتش قديم جدا.
Using AI to turning my old sketche into high-quality render
الوصف:
 the scene and; composed of a municipal building located in a part of the desert. the organic form. the material is burnt clay, the part of the sky on the left looks like an infinite tunnel. the right part of the building is illuminated. in the background you can see the dunes illuminated on their right side. the frames of the openings are made of white brick. in the road to the left where you can see the traces of camels and people. the extension of the building there are niches carved into the rock like the buildings of Petra. . there are some Bedouins near the right entrance of the building. on the left side of the road. there is a very ruined excavation. the shadows of the building fall on the roof of the left entrance and also on the ground. a caravan can be seen in the distance down the road. between the protrusions of the roof parapet are pieces of wood. the part of the mountain that is immediately behind the building is lower than the building itself and  it continue gradually along the whole road. all the dunes and mountains and the road have the same color as the building. above the road you can see the sky that seems to be the roof of the road itself. there is a camel and a Bedouin in front of the left door

Fixing AI Rendering Errors: Harnessing Logic and Descriptive Geometry to Enhance Architectural Representations

Often, significant errors occur in the renderings generated by AI. While it is true that AI can provide fast rendering, it may contain substantial errors. For instance, it might insert the sky as a background even when the user specified that the building is viewed from above in a three-point perspective. To correct the errors and inconsistencies in the AI-generated representation, logic and intuition from descriptive geometry and architectural representation are highly valuable. Tools like Photoshop can be used to achieve an appropriate architectural representation. By leveraging geometric knowledge, it is possible to ensure that the final image aligns with the specifications provided in the detailed description. It is crucial to recognize that understanding the rules of perspective is essential for identifying and rectifying such errors, thereby enhancing the overall appearance of the AI-rendered image.

Correzione degli errori nei rendering AI: Sfruttare la logica, la geometria descrittiva e le regole della rappresentazione architettonica per migliorare le visualizzazioni

Spesso si verificano errori significativi nei rendering generati dall'IA. È vero che l'IA può fornire un rendering veloce, ma potrebbe contenere errori sostanziali. Ad esempio, potrebbe inserire il cielo come sfondo anche se l'utente ha specificato che l'edificio è visto dall'alto in una prospettiva a tre punti di fuga. Per correggere gli errori e le incoerenze nella rappresentazione generata dall'IA, la logica e l'intuizione della geometria descrittiva e della rappresentazione architettonica sono molto utili. È possibile utilizzare strumenti come Photoshop per ottenere un'adeguata rappresentazione architettonica. Sfruttando le conoscenze geometriche, è possibile assicurarsi che l'immagine finale sia coerente con le specifiche fornite nella descrizione dettagliata. È importante sottolineare che le regole della prospettiva sono indispensabili per identificare e correggere tali errori, migliorando l'aspetto complessivo dell'immagine renderizzata dall'IA