diff --git a/README.md b/README.md index 49ceb22cb95f49ac0e93baed9e0310d91dc5aff3..af53a900d7fb6e7690dd6e64dde5f1f5b03dd004 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,9 @@ short_description: Benchmarking coding agents that build 3D scenes Project page for Code4Scene: the leaderboard, the paper's takeaways, and selected cases whose saved Unreal Engine scenes can be viewed in 3D. Each section has a Text-to-Scene tab (construction; selected by default, the 20-scene Research Track) and an Image-to-Scene tab (editing; the 75-case public evaluation). `scripts/t2s_only.py` removed Image-to-Scene on 2026-10-01; -`scripts/i2s_tabs.py` brought it back as the second tab on 2026-10-04. +`scripts/i2s_tabs.py` brought it back as the second tab on 2026-10-04; `scripts/i2s_more_cases.py` adds four more +Image-to-Scene cases (six in all) and `scripts/harbor_card.py` features GPT-6 Astra's Industrial Harbor, which links to its +own viewer Space. Paper: [arXiv:2609.36777](https://arxiv.org/abs/2609.36777) · Code: [SimWorld-AI/Code4Scene](https://github.com/SimWorld-AI/Code4Scene) @@ -42,7 +44,7 @@ Queue tests: `node --test tests/scene-assets.test.mjs`. Browser QA includes publ ## Geometry-first scene cards -The homepage uses `data/progressive-scenes.json` to choose immutable packed derivatives for its 11 public scene/state variants. Geometry and meshopt bytes are unchanged; embedded images are moved into small packed batches. The original packed models remain available to the full case explorer. `assets/progressive-gltf.js` returns the geometry with neutral texture placeholders, then the visible card starts material work after its first rendered frame. Image updates preserve glTF samplers, color spaces, transforms and material parameters. At most two texture jobs run across the page; offscreen cards pause them, and a texture failure keeps the geometry visible with a separate retry control. +The homepage uses `data/progressive-scenes.json` to choose immutable packed derivatives for 17 of its public scene/state variants (the suburban Image-to-Scene scenes are almost all geometry, so their cards load the packed model directly). Geometry and meshopt bytes are unchanged; embedded images are moved into small packed batches. The original packed models remain available to the full case explorer. `assets/progressive-gltf.js` returns the geometry with neutral texture placeholders, then the visible card starts material work after its first rendered frame. Image updates preserve glTF samplers, color spaces, transforms and material parameters. At most two texture jobs run across the page; offscreen cards pause them, and a texture failure keeps the geometry visible with a separate retry control. Three.js r160, GLTFLoader, MeshoptDecoder, Sky and OrbitControls are served from `assets/vendor/three-r160/`, retaining the official MIT license. Both page import maps use this pinned same-origin version. Original sources: https://github.com/mrdoob/three.js/tree/r160 . diff --git a/cases.html b/cases.html index ab77202f4edcf2776f3cf3be7638a4fd8337a2b9..8b50402ac588f445a9b50a4afa38fdb626050645 100644 --- a/cases.html +++ b/cases.html @@ -87,7 +87,7 @@ table.cs td,table.cs th{white-space:nowrap}.panel code{font-size:.82em;backgroun
Cases

Every scene in 3D, with its scores

Each agent's result is the engine-native scene it saved, exported from Unreal Engine so you can turn it in the browser. Beside it, how the -evaluator scored that scene. 6 cases, 41 scenes in 3D. Pick a case, then an agent.

+evaluator scored that scene. 10 cases, 58 scenes in 3D. Pick a case, then an agent.

·

@@ -99,7 +99,7 @@ evaluator scored that scene. 6 cases, 41 scenes in 3D. 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0000000000000000000000000000000000000000..81ea3e4b447ad5e2208bf0144424d4fec285a2c1 --- /dev/null +++ b/models/progressive-v1/tex-ca618491f2136f6af09029fb.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:48fa95fd53714e0cbc2e126d99ea42f895df8abc63b04ca88c44b5b72b0f30e8 +size 79972 diff --git a/scripts/i2s_more_cases.py b/scripts/i2s_more_cases.py new file mode 100644 index 0000000000000000000000000000000000000000..43ad4979c4ae74bbfbed80f4682a7ebb90217b5d --- /dev/null +++ b/scripts/i2s_more_cases.py @@ -0,0 +1,163 @@ +"""Four more Image-to-Scene cases (user, 2026-10-04: "然后image2scene多找几个case放上去"). + +Picked from the 75 public cases for a clean reference image and a perfect (1.000) repair whose saved scene is the one the +scored run reloaded, so it can be shown in 3D. Each card shows that repair; the case explorer adds the other exported agents. +The scenes were staged and exported to GLB on serv6 (code4scene-video/scripts/stage_i2s_more.py, export_glb_more.sh), +then compressed as website/compress_glb.sh does (meshopt geometry, 512 px WebP, Image-to-Scene nodes kept). +Scores, judge views and reference images are the film kit's (kit/host/film/i2s.json, collected by kit/collect_i2s.py); +targets and operations are the testset label.json corruption contracts; the reference cameras are the public cameras.json. + +Each step asserts it found what it edits. + GLB=__.glb> python3 scripts/i2s_more_cases.py +""" +from __future__ import annotations +import hashlib, json, os, re, shutil, sys +from pathlib import Path +import numpy as np +from bs4 import BeautifulSoup + +ROOT = Path(__file__).resolve().parent.parent +KIT = Path.home() / "Downloads/code4scene-video/kit/host/film/i2s.json" +PUB = Path.home() / "Downloads/Code4Scene/benchmark/public/image-to-scene" +GLB = Path(os.environ["GLB"]) +V = "20261004i2smore" +KEY = bytes.fromhex("5c2f9e71d3a84b06e1f7c29a38d05b64a7193ce8f2046db95e81c73a2df6904b") # website/pack_models.py + +# case, title, card agent, the target actors' GLB node names, the label.json corruption contract (authored_operations), a line +# on what was done. The exporter names nodes by actor label; where that differs from the label.json label, the node is the +# one whose transform differs between the ground truth and the input GLB: comp-72's StaticMeshActor_565 is SM_Umbrella_5, +# comp-51's BP_Mailbox_01_C_443 is BP_Mailbox_01 (as build_site.py's GLB_ALIAS for comp-31). +CASES = [ + ("comp-72-suburban-umbrella-pair-repair-v2", "Suburban Umbrella Pair", "opus", ["SM_Umbrella_5"], + [{"type": "duplication", "label": "StaticMeshActor_565", "new_label": "StaticMeshActor_565_CorruptDuplicate", "delta_cm": [-300.0, 220.0, 0.0], "yaw_deg": -28.0, "factor": 0.82}, + {"type": "rotation", "label": "StaticMeshActor_565", "yaw_deg": 46.0}, + {"type": "scaling", "label": "StaticMeshActor_565", "factor": [1.28, 1.28, 1.18]}], + "The patio umbrella turned 46° and enlarged, plus an unintended smaller duplicate."), + ("comp-17-rosies-service-bin-reset-v3", "Rosie's Service Bin", "astra", ["SM_Trashcan3"], + [{"type": "translation", "label": "SM_Trashcan3", "delta_cm": [260.0, 180.0, 0.0]}, + {"type": "rotation", "label": "SM_Trashcan3", "yaw_deg": 65.0}, + {"type": "scaling", "label": "SM_Trashcan3", "factor": 1.45}], + "A trash can moved 3.2 m, turned 65° and scaled up 1.45×."), + ("comp-18-rosies-roadside-billboard-reset-v3", "Rosie's Roadside Billboard", "astra", ["SM_Billboard02"], + [{"type": "translation", "label": "SM_Billboard02", "delta_cm": [650.0, 400.0, 0.0]}, + {"type": "rotation", "label": "SM_Billboard02", "yaw_deg": 55.0}, + {"type": "scaling", "label": "SM_Billboard02", "factor": 1.35}], + "The billboard moved 7.6 m, turned 55° and scaled up 1.35×."), + ("comp-51-suburban-driveway-mailbox-recovery-v2", "Suburban Driveway Mailbox", "fable", ["BP_Mailbox_01"], + [{"type": "removal", "label": "BP_Mailbox_01_C_443"}], + "The driveway mailbox removed."), +] + + +def one(found, what): + assert found, f"not found: {what}" + return found + + +def mid(glb_name): + return hashlib.sha256(b"c4s-model:" + glb_name.encode()).hexdigest()[:20] + + +def pack(): + """website/pack_models.py for the new GLBs: models/.bin, XORed with the page's keystream""" + table = {} + for g in sorted(GLB.glob("*.glb")): + assert any(g.name.startswith(c[0] + "__") for c in CASES), g.name + a = np.frombuffer(g.read_bytes(), np.uint8); idx = np.arange(a.size, dtype=np.int64) + ks = np.frombuffer(KEY, np.uint8)[idx % 32] ^ ((idx // 32) * 131 & 255).astype(np.uint8) + dst = ROOT / "models" / f"{mid(g.name)}.bin"; dst.write_bytes((a ^ ks).tobytes()) + table[g.name] = f"models/{dst.name}?v={int(dst.stat().st_mtime)}" + print("packed", len(table), "models") + return table + + +def ref_cam(setting, case): + v = next(v for v in json.loads((PUB / setting / case / "cameras.json").read_text())["views"] if v["name"] == "reference") + ue = lambda p: [p[0] / 100, p[2] / 100, p[1] / 100] # UE (x, y, z) cm -> glTF (x, z, y) m, as build_site.py + return {"pos": ue(v["location_cm"]), "target": ue(v["target_cm"]), "hfov": v["fov_deg"]} + + +def site_data(models): + p = ROOT / "data/site.js" + S = json.loads(p.read_text().split("=", 1)[1].rstrip().rstrip(";")) + assert not {c[0] for c in CASES} & {c["id"] for c in S["cases"]}, "already added" + kit = {c["case"]: c for c in json.loads(KIT.read_text())} + q = lambda rel: f"{rel}?v={V}" + for case, title, card, targets, ops, note in CASES: + c = kit[case]; d = f"media/i2s/{case}" + assert all((ROOT / d / a["img"]).exists() for a in c["agents"] if a["img"]), case + ags = [{"key": a["key"], "s": a["s"], "f1": a["f1"], "phys": a["phys"], "tp": a["tp"], "fp": a["fp"], "fn": a["fn"], + "img": q(f"{d}/{a['img']}") if a["img"] else None, "glb": models.get(f"{case}__{a['key']}.glb")} + for a in sorted(c["agents"], key=lambda a: -a["s"])] + best = next(a for a in ags if a["key"] == card) + assert best["s"] >= 0.999 and best["glb"], (case, card) + S["cases"].append({"id": case, "track": "i2s", "title": title, "note": note, "prompt": c["task"]["prompt"], "targets": targets, + "duplicates": [o["new_label"] for o in ops if o["type"] == "duplication"], "corruption": ops, + "gt_glb": one(models.get(f"{case}__gt.glb"), f"{case} gt"), "input_glb": one(models.get(f"{case}__input.glb"), f"{case} input"), + "ref_cam": ref_cam(c["setting"], case), "gt": q(f"{d}/{c['gt']}"), "input": q(f"{d}/{c['input']}") if c.get("input") else None, + "refs": [q(f"{d}/{r}") for r in c["refs"]], "ops": c["ops"], "agents": ags}) + p.write_text("window.SITE = " + json.dumps(S) + ";\n") + n3d = sum(1 for c in S["cases"] for a in c["agents"] if a.get("glb")) + sum(1 for c in S["cases"] for k in ("gt_glb", "input_glb") if c.get(k)) + cp = ROOT / "cases.html"; cs = cp.read_text() + cs, n = re.subn(r"\d+ cases, \d+ scenes in 3D", f'{len(S["cases"])} cases, {n3d} scenes in 3D', cs); assert n == 1 + cs, n = re.subn(r"(data/site\.js)\?v=\w+", lambda m: f"{m.group(1)}?v={V}", cs); assert n == 1 + cp.write_text(cs) + print("data/site.js:", len(S["cases"]), "cases ·", n3d, "scenes in 3D") + return S + + +def index(S): + p = ROOT / "index.html" + soup = BeautifulSoup(p.read_text(), "html.parser") + grid = one(soup.find(id="cases").find(class_="case-grid", attrs={"data-view": "i2s"}), "Image-to-Scene case grid") + name = {k: v["name"] for k, v in S["agents"].items()} + for case, title, card, *_ in CASES: + c = next(c for c in S["cases"] if c["id"] == case); a = next(a for a in c["agents"] if a["key"] == card) + grid.append(BeautifulSoup( + f'
' + 'Loading 3D scene…Drag to orbit · Scroll to zoom
' + f'Image-to-Scene

{title}

{name[card]} · score {a["s"]:.3f}

' + f'Compare all 14 agents ↗
', "html.parser")) + for t in soup.find_all("script", src=re.compile(r"^data/site\.js")): + t["src"] = f"data/site.js?v={V}" + p.write_text(str(soup)) + print("index.html:", len(grid.find_all("article", recursive=False)), "Image-to-Scene cards") + + +def texture_share(packed): + """the share of a packed GLB's bytes that are embedded images""" + a = np.frombuffer(packed.read_bytes(), np.uint8); idx = np.arange(a.size, dtype=np.int64) + raw = (a ^ (np.frombuffer(KEY, np.uint8)[idx % 32] ^ ((idx // 32) * 131 & 255).astype(np.uint8))).tobytes() + n = int.from_bytes(raw[12:16], "little"); g = json.loads(raw[20:20 + n]) + views = {im["bufferView"] for im in g.get("images", []) if "bufferView" in im} + return sum(g["bufferViews"][v]["byteLength"] for v in views) / len(raw) + + +def progressive(S): + """build_progressive.py's geometry-first derivative for each new card scene (repair, input, ground truth)""" + sys.path.insert(0, str(ROOT / "scripts")) + import build_progressive as bp + urls = [] + for case, _, card, *_ in CASES: + c = next(c for c in S["cases"] if c["id"] == case) + urls += [next(a for a in c["agents"] if a["key"] == card)["glb"], c["input_glb"], c["gt_glb"]] + # a derivative pays off only when textures are a real share of the file: the suburban scenes are ~98% geometry, so theirs + # would duplicate 18 MB for no earlier first frame; those cards load the packed model directly, as before progressive-v1 + urls = [u for u in urls if texture_share(ROOT / u.split("?")[0]) >= 0.1] + for u in urls: # the converter reads its cache before the live Space, which does not have these files yet + shutil.copyfile(ROOT / u.split("?")[0], bp.CACHE / u.split("/")[-1].split("?")[0]) + m = ROOT / "data/progressive-scenes.json"; d = json.loads(m.read_text()) + d.update(dict(bp.convert(u) for u in urls)) + m.write_text(json.dumps(d, indent=2) + "\n") + cu = ROOT / "scripts/progressive-card-urls.json"; cl = json.loads(cu.read_text()); cu.write_text(json.dumps(cl + urls) + "\n") + print("data/progressive-scenes.json:", len(d), "card scenes") + + +if __name__ == "__main__": + if os.environ.get("ONLY") == "progressive": # re-run the last step on an already-edited page + progressive(json.loads((ROOT / "data/site.js").read_text().split("=", 1)[1].rstrip().rstrip(";"))) + else: + models = pack(); S = site_data(models); index(S); progressive(S) diff --git a/scripts/progressive-card-urls.json b/scripts/progressive-card-urls.json index a6a32d7e003f10ff2c476be7a51db16d275fa88a..92857d68f3c9e53436de1466c056038251a817f3 100644 --- a/scripts/progressive-card-urls.json +++ b/scripts/progressive-card-urls.json @@ -1 +1 @@ -["models/38071c69a86d174dc55f.bin?v=1790737099", "models/46734878f740aae816d8.bin?v=1790737099", "models/66da6868d20ebb100197.bin?v=1790737099", "models/6afbbaec6b7a4271b21f.bin?v=1790737099", "models/a32fa4ebc640e2278635.bin?v=1790737099", "models/cb082e689f15e654daab.bin?v=1790737099", "models/cc1bdce0533a50e81385.bin?v=1790737099", "models/db5c0c5d2b78f9e47bb7.bin?v=1790737099", "models/e6a6333939ccfe57d584.bin?v=1790737099", "models/fa367ea5d33ed24f577a.bin?v=1790737099", "models/feb923d4f4f257315904.bin?v=1790737098"] \ No newline at end of file +["models/38071c69a86d174dc55f.bin?v=1790737099", "models/46734878f740aae816d8.bin?v=1790737099", "models/66da6868d20ebb100197.bin?v=1790737099", "models/6afbbaec6b7a4271b21f.bin?v=1790737099", "models/a32fa4ebc640e2278635.bin?v=1790737099", "models/cb082e689f15e654daab.bin?v=1790737099", "models/cc1bdce0533a50e81385.bin?v=1790737099", "models/db5c0c5d2b78f9e47bb7.bin?v=1790737099", "models/e6a6333939ccfe57d584.bin?v=1790737099", "models/fa367ea5d33ed24f577a.bin?v=1790737099", "models/feb923d4f4f257315904.bin?v=1790737098", "models/fef6016b97b176af9fef.bin?v=1791181855", "models/6ed621e057a53331469a.bin?v=1791181855", "models/843768ef1999c6f33178.bin?v=1791181855", "models/d3e551d366b82c38cfe2.bin?v=1791181856", "models/ca03f1482ef5f2decbcb.bin?v=1791181856", "models/73ceabf2d178a47c7d70.bin?v=1791181856"]