Jun 17, 2025
In this way, each fiction becomes an ironic package of the resort that takes place in Polykatoikia.
seen from China
seen from United States
seen from Netherlands
seen from United States
seen from China
seen from United States
seen from Canada
seen from Germany
seen from Malaysia
seen from Pakistan
seen from Malaysia
seen from China
seen from Malaysia
seen from China
seen from China
seen from Singapore
seen from Australia
seen from Netherlands
seen from Netherlands
seen from South Korea
In this way, each fiction becomes an ironic package of the resort that takes place in Polykatoikia.
Speculative designs on site
Sets of buildings are generated that have spaces (residential, Airbnb, and hotel) on high-traffic tourist routes.
Interventions are located with the aim of creating the network.
These complexes can be understood as franchises of the resort.
Moodboard 01.
Moodboard 02.
Connection.
Step 1: Modify the Chrome shortcut's target path and launch the browser using the modified shortcut. Record the PID (Process ID) shown in the pop-up window.
Step 2: In RenderDoc, locate the Chrome GPU rendering process using the PID and inject RenderDoc as a monitor into this process.
Step 3: Open Google Earth in the browser and navigate to the area you want to capture. After the model has fully loaded, click the Capture button in RenderDoc. During the capture, keep moving or rotating the view to ensure the GPU is actively rendering, allowing RenderDoc to successfully intercept the data. Once finished, export the .rdc file.
Step 4: Install the corresponding RenderDoc import plugin in Blender, and load the .rdc file to retrieve the captured 3D model.
The final model is combined with the basic model we had without detail to highlight the groups of buildings that will make up the resort's sites.
Speculative design of mood board 01
Image:
Video:
3D:
Original:
Mosaics aprt in Parliament Square, Acropolis view!
Speculative design of mood board 01
Image:
Video:
3D:
Original space:
Modern minimal apartment in Historical center
The shared steps between the two methods：
Step 1: Extract all frames from the input video.
Step 2: Extract keypoint features from each frame, then match features between adjacent frames. Based on these matches, estimate camera motion to generate a sparse point cloud.
Step 3: Estimate depth relationships based on the sparse point cloud to generate a dense point cloud.
The different steps between the two methods：
Gauss splatting：Each point in the dense point cloud is fitted with a 3D Gaussian distribution, where parameters include position, orientation (anisotropy), scale, color, and opacity.
Mesh construction：It converts point clouds into editable triangle meshes with fixed textures, making it suitable for architectural modeling and further geometric design.
ComfyUI
Stable Virtual Camera