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20242026
most cited3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors

2 citations · 2 across the 12 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

XClipGS: Exact Half-Space Clipping for Medical Volume Gaussian Splatting

Zhongpai Gao, Benjamin Planche, Meng Zheng +4

Gaussian-splatting proxies enable interactive rendering of volumetric medical scans, but a clipping plane exposes anatomy not constrained by external-view training and intersects p…

cs.CR2026

Adversarial Prompts for Acceptance Collapse in Speculative Decoding

Run Wang, Chaoyi Zhou, Xi Liu +7

Lossless acceleration schemes, such as speculative decoding, promise significant inference speedups by relying on dynamic token-level alignment between a draft and a target model.…

cs.CV2026

Digital measurement of droplet flame diameter in microgravity combustion images using Segment Anything Model 2 with automatic prompt selection

Minghui Xu, Chaoyi Zhou, Aaron P. Cecil +3

Flame diameter is a key measurable parameter in microgravity droplet combustion, but its extraction from self-illuminated frames remains difficult because soot tails, blurred lumin…

cs.CV2026

Sat3R: Satellite DSM Reconstruction via RPC-Aware Depth Fine-tuning

Qiaoyi Yang, Chaoyi Zhou, Xi Liu +9

Accurate Digital Surface Model (DSM) reconstruction from satellite imagery is critical for applications such as disaster response, urban planning, and large-scale geographic mappin…

cs.CV2026

NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results

Xin Li, Jiachao Gong, Xijun Wang +75

This paper presents an overview of the NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models. This challenge utilizes a new short-form UGC (S-…

cs.CV2026

FF3R: Feedforward Feature 3D Reconstruction from Unconstrained views

Chaoyi Zhou, Run Wang, Feng Luo +4

Recent advances in vision foundation models have revolutionized geometry reconstruction and semantic understanding. Yet, most of the existing approaches treat these capabilities in…

cs.CV2026

Fine-Tuning a Large Vision-Language Model for Artwork's Scoring and Critique

Zhehan Zhang, Meihua Qian, Li Luo +4

Assessing artistic creativity is foundational to creativity research and arts education, yet manual scoring (e.g., Torrance Tests of Creative Thinking) is labor-intensive at scale.…

cs.CV2026

FlexMap: Robust HD Map Construction under Flexible Camera Configurations

Run Wang, Chaoyi Zhou, Amir Salarpour +5

High-definition (HD) maps provide essential semantic information about road structures for autonomous driving, but existing HD map construction methods typically require calibrated…

cs.CV2026

Spatial-Conditioned Reasoning in Long-Egocentric Videos

James Tribble, Hao Wang, Si-En Hong +4

Long-horizon egocentric video presents significant challenges for visual navigation due to viewpoint drift and the absence of persistent geometric context. Although recent vision-l…

cs.CV2026

Motion Focus Recognition in Fast-Moving Egocentric Video

Si-En Hong, James Tribble, Alexander Lake +8

From Vision-Language-Action (VLA) systems to robotics, existing egocentric datasets primarily focus on action recognition tasks, while largely overlooking the inherent role of moti…