bw_0118 · 建筑外观与城市场景
模型实际输入详情 · 两个模型的 inputs 文件逐字节一致,已核验。
原始题目全文
以下逐字展示 query.txt,保留原文语言;这是任务要求,并非生成结果或评分标准。
I'm pitching an exhibition concept for an urban pocket plaza to the organizers, so I need a dusk render that sells the sense of space. The site's roughly 20m square, with a 4m-diameter three-tier circular fountain dead center, ringed by curved treated-wood benches, rows of street trees and a few vintage cast-iron lamp posts, all on stone paving — the wood and metal should read as distinct materials. Include the plaza furnishings required above. The key thing is the fountain has to hold as the focal point and not get buried by clutter, with a warm sunset side-backlight bringing out the flow and layering. Shoot it low with a 35mm framing, give me a 4K still out of Cycles, and keep the .blend for later camera tweaks.下载 query.txt
原始参考素材
本题没有参考图片或视频。
任务附件
本题没有额外附件。
本次运行附加的执行指令
这是自建 harness 传给两模型的共同执行指令,不属于原始题目。CPU 设置与个别原题 GPU 要求之间的差异,详见主页说明。
Complete the Blender creation task in /workspace/inputs/query.txt using all declared references and attachments in /workspace/inputs/input.json. Read the reference images with Read; for video, extract and inspect frames with ffmpeg and Read. Blender 4.2.10 is available as `blender` or /runtime/blender/blender. Python with Pillow/NumPy is available as `python`. You can write and run bpy scripts with background Blender. This machine uses CPU Cycles; use 8 threads, and inspect your renders before finishing. You have an 8-hour time budget. Fulfil the original requested deliverables, including animations and resolutions where specified. Save the editable primary project to /workspace/exports/final.blend, with requested images/videos and all texture dependencies inside /workspace/exports using relative paths or packed assets. Put temporary scripts and previews under /workspace/work. Do not finish while required rendering jobs are still running. Use only the provided task inputs, your tools, and your own creation work; evaluation is separate.
完整输入文件
| 文件(点击下载) | 大小 |
|---|---|
| input.json | 133 B |
| instruction.html | 3,223 B |
| query.txt | 725 B |
| reference_images.base64.json | 99 B |
查看 input.json 文件清单
{
"task_id": "bw_0118",
"query_file": "query.txt",
"files": [
"instruction.html",
"reference_images.base64.json"
]
}
instruction.html 和 reference_images.base64.json 为输入目录内的原始文件,已保留供下载。本页不包含评测 rubric 或模型产物。