Generate Images from Lines Pangngajarian Pallebbi Rakkeang Bola naébbu Junming Chen

Generate Images from Lines Pangngajarian Pallebbi Rakkeang Bola naébbu Junming Chen iyanaritu pammènangngé iya temmaka riéloinna ri 2023 A' Design Award Bessi ri Katégori Kompétisi Desain Generatif, Algoritmik, Parametrik na Berbantu AI.

BessiGeneratif· 2023

Generate Images from Lines Pangngajarian Pallebbi Rakkeang Bola

ᨑᨗ Junming Chen

ᨀᨒᨗᨕᨙ: Junming Chen

Pammènangngé A' Design Award Bessi ri Katégori Generatif

48,097

Pammènangngé Anugérah Naparessoi

Paressoi Status Anugérah untu #150690

ᨈᨗᨈ ᨑᨗ A' Design Award ᨔᨗᨕᨑ ᨄᨙᨑᨙ ᨅᨙᨍᨗ ᨄᨂᨑᨁ

ᨓᨑᨊ

ᨉᨙᨔᨕᨗᨊᨙ

ᨄᨙᨑᨗᨖᨒ Generate Images from Lines Pangngajarian Pallebbi Rakkeang Bola

Generate Images from Lines iyanaritu sistem kacceradang buatang (artificial intelligence) iya mabbentukengngi gambara rancangan interior polé ri gambara garisi. Iyaé sistem-é mangolo ri model diffusion iya ripakaressoé, iya ripaajariwi lebbi 20.000 gambara rancangan interior iya ripaddupianngé sibawa ricatatangngé ri désaineré profésionnala. Désaineré napattama gambara garisi (iya rieléki tangang-tangang iyaré’ga digitala) namennang gaya rakkeang, kégi-kégi modéren, Jepang, Éropa iyaré’ga Cina. Sisittu, riyassuroni séddi gambara. Rancangan-é wedding riyubah ri laleng riubahna gambara garisi-é, na dé’na naparelluangngi pallebbi modéla sibawa parakkeang paimeng.

ᨄᨂᨑᨁᨙ

ᨄᨙᨑᨗᨖᨒ A' Design Award Bessi

Generate Images from Lines Pangngajarian Pallebbi Rakkeang Bola iyanaritu pakoro A' Design Award Bessi, pakalebbi iya malebbi iya ripabbere ri desain makessing iya mappabbura persyaratan profesional sibawa industri iya ripakkirangngi pole ri ciptaan iya makessing ripikkiri. Pakoro Bessi mappakita keterampilan malompo, spesialisasi dalleng, pemahaman ahli sibawa kapasitas kreatif tau mabbuat. Generate Images from Lines Pangngajarian Pallebbi Rakkeang Bola ripakkirangngi mancaji ciptaan iya ripakalebbi, ripuji sibawa rirennu iya praktis sibawa inovatif. Desain pakoro A' Design Award Bessi iyae mappasilaong praktik tepat industri sibawa napaitai karakteristik teknis iya kompeten iya sipulung sibawa pengetahuan sibawa bakat. Nasaba ketelitiannna, Generate Images from Lines Pangngajarian Pallebbi Rakkeang Bola mappoleang pakalebbi sibawa ripikkiri mappabbere perbaikan kualitas laleng iya ritulung mappadeceng lino mancaji tempe makessing.

ᨑᨗ ᨆᨘᨋᨗᨊᨙ ᨉᨙᨔᨕᨗ

ᨀᨗ ᨄᨙᨑᨙ

ᨀᨑᨙᨉᨗ, ᨕᨂᨚᨈ ᨈᨗᨆ ᨔᨗᨅᨓ ᨑᨗᨏᨗ ᨈᨙᨀᨊᨗ ᨊᨄᨓᨙᨑᨙ ᨑᨗ ᨉᨙᨔᨕᨗᨊᨑᨙ.

Sipa Khas: The design was done by artificial intelligence (AI) in collaboration with designers. We trained an AI that professionally generates interior designs, which can generate interior designs with different decorative styles based on input line drafts. It solves the problem that the traditional design modification requires remodeling and rendering. It only takes a few seconds to generate a design using this method, and the efficiency of generation and modification is increased by dozens of times.
Ukurang & Kemasang: Use artificial intelligence to cooperate with designers to generate designs with different decorative styles. The design area is 160 square meters, and the decoration styles include modern, Japanese, European, and Chinese styles.
Tag: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Téknologi Produksi: The AI technology we use is our improved diffusion model technology. The typical defect of the diffusion model is that it cannot generate design according to specific "decorative style" and "space attribute," which is fatal for interior design. To this end, we re-collected and manufactured a data set containing more than 20,000 interior design renderings and data annotations and handed the data set to AI learning to generate an AI suitable for interior design. The AI can generate interior renderings specifying "decorative style" and "space attributes" by inputting line sketches.
Tantangeng Désain: The challenge of this design is to build a professional interior design AI that generates designs of high quality and correct decor. To this end, we asked professional designers to collect and label tens of thousands of interior design images and then handed over the filtered data to AI for training. Make AI understand what is "decorative style," "spatial attributes," and "aesthetic attributes" and generate an interior design with a specified decorative style.
Panélitiang: Research Background: The interior design process could be more convenient, and the efficiency of design and modification could be higher.
Methods: We trained an AI for professional interior design and used AI to cooperate with people to generate interior designs of various decorative styles from line drawings.
Results: Using our AI, designers can obtain an interior design rendering every few seconds, efficiently generating and modifying designs.
Insights: Our method can quickly generate large batches of interior designs with specified decoration styles and spatial attributes, and the generated results can be changed by modifying the line draft. Design efficiency is improved by eliminating the need for manual modeling and rendering.
Inspirasi: The traditional process of obtaining renderings for interior design is tedious and time-consuming. We use artificial intelligence (AI) to generate interior design, improve design efficiency, and explore new ways of human-computer collaborative design. Specifically, we trained an AI to create interior designs, which can quickly generate and modify designs in cooperation with humans. Changing the design does not require modifying the model and re-rendering, which improves design efficiency.
Wettu Proyék: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Alur Opérasi: 1. Professional designers collect interior design images and mark and screen them.
2. Use the filtered data to train a professional interior design AI.
3. Designers use AI to design.
4. The designer inputs the hand-drawn or design line draft into AI to specify the decoration style.
5. AI generates the interior design of the specified decoration style.
6. The designer adjusts the line draft of the unsatisfactory part of the design and then regenerates the design.
7. After adjusting the line draft and generating it multiple times, a good design is obtained.