Junming Chen nisqap Generate Images from Lines Ukhu Kawsay Rikch'aynin Ruwaq diseñon

Junming Chen nisqap Generate Images from Lines Ukhu Kawsay Rikch'aynin Ruwaq diseñonqa Paqariq Kamay Atipanakuy T'aqapi 2023 A' Design Award Fierru Premiu nisqap ancha chaniyuq atipaqninmi.

FierruPaqariq· 2023

Generate Images from Lines Ukhu Kawsay Rikch'aynin Ruwaq

Junming Chen rurasqa

Mañakuq: Junming Chen

Paqariq T'aqapi A' Design Award Fierru Premiu Atipaq

48,097

Taripasqa Premio Atipaq

#150690 nisqapaq Premio Kayninta Taripay

A' Design Award ukhupi Qhaway Prensa Willakuy Premio Unanchay

Llinphikuna

Diseñomanta

Generate Images from Lines Ukhu Kawsay Rikch'aynin Ruwaq nisqamanta

Sirtu Simikunamanta Rikch'aykunata Ruway nisqaqa huk yachay-artificial sistemam, imataq linyakunawan siq'isqamanta ukhu kawsay rikch'aynin rikuchikunata ruwan. Kay sistemaqa huk allinchasqa "diffusion" tiyapunam, imataq 20,000-manta aswan ukhu kawsay rikch'aykunawan yachachisqa karqan, kaykunataq propesional dizaynadorkunawan huñusqa hinallataq qillqasqa karqanku. Dizaynadorkunaqa makiwan utaq digital-pi siq'isqa linyakunata churanku, hinaspa huk kanchariy estilota akllanku, kaqllataqmi kunan pacha, Japón-pa, Europa-pa utaq China-pa estilonkunata. Rikch'aynintaqmi hukninpi ruwakun. Dizaynokunaqa linya siq'iyta llamk'achispam tikrakunku, chayrayku manam maki ruwayqa nitaq musuqmanta rikch'aynin ruwayqa munasqachu.

Riqsichiy

A' Design Award Fierru Premiu nisqamanta

Generate Images from Lines Ukhu Kawsay Rikch'aynin Ruwaq A' Design Award Fierru Premiu mishak kan, yupaychay, kayta ruray yachak shinallatak industriapak mañaykunata paktachik alli diseñukunaman kun. Fierru mishak kashkakunaka hatun ruray ushayta, hanak yachayta, yachak yuyayta shinallatak ruray kamachiyta rikuchinku. Generate Images from Lines Ukhu Kawsay Rikch'aynin Ruwaq sinchi yupaychashka, kuyashka shinallatak kuyashka ruray, ruranapak alli shinallatak mushuk yuyaypi kanata munanku. Kay Fierru Premiu japishka diseñuka industriapak ashtawan alli ruraykunata tantachin shinallatak yachaywan shinallatak ushaywan tantashka tekniku ushayta charin. Sinchi ruraymanta Generate Images from Lines Ukhu Kawsay Rikch'aynin Ruwaq yupaychashka kan shinallatak kawsayta alliyachik ruraykunata kuypak ruray kan, pachata ashtawan alli kachun ruran.

Diseño Qhipanpi

Prensa Kit

Diseñadorpa quska créditos, llamk'aq runakunapas técnico willaykuna.

Sapaq Kayninkunamanta: 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.
Tupukuna & P'istuy: 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.
Etiquetakuna: Artificial intelligence, Human-machine collaboration, Interior design, Generative design, Efficient design, Rapid modification, Controllable design, Decoration style control
Ruway Tecnología: 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.
Diseño Sasachakuy: 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.
T'aqwiy: 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.
Kallpachay: 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.
Llamk'ay Pacha: The project is located in Guangzhou, Guangdong Province, China, and was designed in 2023.
Purichiy Puriy: 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.