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20242026
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cs.CV2026

CityRAG: Stepping Into a City via Spatially-Grounded Video Generation

Gene Chou, Charles Herrmann, Kyle Genova +6

We address the problem of generating a 3D-consistent, navigable environment that is spatially grounded: a simulation of a real location. Existing video generative models can produc…

cs.CV2026

Policy-based Foveated Imaging and Perception

Howard Xiao, Jan Ackermann, Boyang Deng +1

Ultra-high-resolution image sensors offer the potential to capture fine spatial details critical for many visual perception tasks, but acquiring and processing all pixels at full r…

cs.CV2026

GeoFlow: Enforcing Implicit Geometric Consistency in Video Generation

Jan Ackermann, Shengqu Cai, Boyang Deng +3

Generating geometrically consistent videos remains an open challenge: text-to-video diffusion models trained on web-scale data treat geometry only implicitly, leading to object def…

cs.CV2025

Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images

Boyang Deng, Songyou Peng, Kyle Genova +4

We present a system using Multimodal LLMs (MLLMs) to analyze a large database with tens of millions of images captured at different times, with the aim of discovering patterns in t…

cs.CV2024

Robust Symmetry Detection via Riemannian Langevin Dynamics

Jihyeon Je, Jiayi Liu, Guandao Yang +5

Symmetries are ubiquitous across all kinds of objects, whether in nature or in man-made creations. While these symmetries may seem intuitive to the human eye, detecting them with a…

cs.CV2024

Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion

Boyang Deng, Richard Tucker, Zhengqi Li +3

We present a method for generating Streetscapes-long sequences of views through an on-the-fly synthesized city-scale scene. Our generation is conditioned by language input (e.g., c…