activity
20162026
most citedA Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

51 citations · 109 across the 21 of their papers we have counts for

collaborators

23 papers

cs.CV2026

ORBIT++: Benchmarking SfM in the Wild with 360° Video

Sara Sabour, Linyi Jin, Richard Tucker +9

Structure-from-Motion (SfM) is a cornerstone of 3D perception, yet current methods often fail when applied to complex videos involving challenging camera motions or dynamic scenes.…

cs.CV2026

GR3EN: Generative Relighting for 3D Environments

Xiaoyan Xing, Philipp Henzler, Junhwa Hur +4

We present a method for relighting 3D reconstructions of large room-scale environments. Existing solutions for 3D scene relighting often require solving under-determined or ill-con…

cs.CV2025

GeCo: Evaluating Geometric Consistency for Video Generation via Motion and Structure

Leslie Gu, Junhwa Hur, Charles Herrmann +4

We introduce GeCo, a geometry-grounded metric for jointly detecting geometric deformation and occlusion-inconsistency artifacts in static scenes. By fusing residual motion and dept…

cs.CV2025

MASIV: Toward Material-Agnostic System Identification from Videos

Yizhou Zhao, Haoyu Chen, Chunjiang Liu +7

System identification from videos aims to recover object geometry and governing physical laws. Existing methods integrate differentiable rendering with simulation but rely on prede…

cs.CV2024

Motion Prompting: Controlling Video Generation with Motion Trajectories

Daniel Geng, Charles Herrmann, Junhwa Hur +11

Motion control is crucial for generating expressive and compelling video content; however, most existing video generation models rely mainly on text prompts for control, which stru…

cs.CV2024

High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion

Junhwa Hur, Charles Herrmann, Saurabh Saxena +6

Despite the recent progress, existing frame interpolation methods still struggle with processing extremely high resolution input and handling challenging cases such as repetitive t…