arXiv:2607. 18116v1 Announce Type: new Abstract: Recent work leverages Large Language Models (LLMs) to generate executable code for pedagogical animations using libraries such as Manim.
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.
arXiv:2607. 27380v2 Announce Type: replace-cross Abstract: Text-to-video models have achieved remarkable visual quality, yet they still struggle to generate physically consistent dynamics because the temporal evolution of a scene must be inferred implicitly from a highly compressed text prompt.
arXiv:2604.18364v2 Announce Type: replace Abstract: Generating programmatic animation using libraries such as Manim presents unique challenges for Large Language Models (LLMs), requiring spatial reas...
LangDriveCTRL is a natural‑language‑controllable framework that edits real‑world driving videos by representing each video as an explicit 3D scene graph, separating a static background from dynamic object nodes. It employs a feedback‑driven agentic pipeline where an Orchestrator translates user instructions into executable graphs that coordinate specialized multi‑modal agents—Object Grounding, Behavior Editing, and Behavior Reviewer—to align text with scene nodes, generate and refine multi‑object trajectories, and ensure photorealism through a video diffusion tool and Video Reviewer. The system supports object node editing (removal, insertion, replacement) and multi‑object behavior editing, achieving nearly twice the instruction alignment of prior state‑of‑the‑art methods while preserving photorealism, structural integrity, and traffic realism.
arXiv:2608.24169v1 Announce Type: new Abstract: 3D geometry editing is a critical yet labor-intensive part of the graphics pipeline, requiring artists to translate creative intent into precise operat...
arXiv:2509. 05208v2 Announce Type: replace-cross Abstract: Large language models (LLMs) excel at program synthesis, yet their ability to produce symbolic graphics programs (SGPs) that render into precise visual content remains underexplored.
arXiv:2602. 11790v2 Announce Type: replace Abstract: Although recent end-to-end video generation models demonstrate impressive performance in visually oriented content creation, they remain limited in scenarios that require strict logical rigor and precise knowledge representation, such as instructional and educational media.