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4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes

Paper recorded by Signals 4 on 2026-10-02 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-02 on arXiv · recorded by Signals 4 on 2026-10-05

Category: cs.AI · 人工智能 · first seen 2026-10-05

Abstract

We introduce 4DCodeBench, a benchmark for 4D inverse graphics through code generation, in which agents reconstruct dynamic scenes from video as executable graphics programs. To accomplish this, agents must translate visual observations into compact representations of scene structure and dynamics, by implementing abstractions such as physical simulations to reproduce complex behavior. To evaluate t

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#462 most recent of 980 cs.AI papers we have recorded · ↑ newer: Less Decoder is More Encoder: Geometric Representation Learning from N · ↓ older: What Should World Models Forget? Stratified Retention for Continual Ad
Cite this page: 4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes: the #462 most recent of 980 cs.AI papers we have recorded (as of 2026-10-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/4dcodebench-benchmarking-agents-on-inverse-graphics-of-dynamic-scenes.html
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