Arbor: Explicit Geometric Conditioning for Controllable 3D Asset Generation
Text and image conditioned 3D models now generate convincing assets, but they still offer little direct control over ...
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Text and image conditioned 3D models now generate convincing assets, but they still offer little direct control over ...
Open-weight Large Language Models (LLMs) enable scientific progress and broad deployment. However, they make it diffi...
As AI labs approach a data ceiling where compute capacity outpaces the rate of new high-quality text generation, lang...
Computer-use agents (CUAs) now act on a user's behalf across personal applications such as email, calendars, and to-d...
As urban areas expand, automatic monitoring of parking lots becomes essential for efficient and sustainable cities. T...
Optimizing pretraining data composition is pivotal for LLM generalization. While dynamic mixing outperforms static st...
Large language models (LLMs) are increasingly used to support software development, but their practical usefulness in...
As Self-Driving Cars continue to expand internationally and use multi-modal systems such as VLMs as a cognitive backb...
Video diffusion models have enabled remarkable progress in video generation and editing. However, content preservatio...
It is tempting to assume any task solvable by a short program can be taught to a model as its chain-of-thought: write...
Generative music systems can now produce impressive audio from text prompts, but audio outputs are difficult to inspe...
Filmmaking demands precise motion control and reference image compositing -- capabilities that existing methods treat...