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20242026
most citedRobust Symmetry Detection via Riemannian Langevin Dynamics

11 citations · 11 across the 6 of their papers we have counts for

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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.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.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★ 11 cited

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…