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20162026
most citedLocalized Gaussian Splatting Editing with Contextual Awareness

6 citations · 31 across the 23 of their papers we have counts for

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29 papers · 1 filter

cs.CV2026

XDG: Accelerated Visual Disambiguation

Gonglin Chen, Ben Southall, Hanyuan Xiao +8

Visual aliasing, also known as the doppelganger problem, remains a key challenge for structure-from-motion (SfM): visually similar but physically distinct surfaces can produce inco…

cs.CV2026

HorizonRelight: Relighting Long-horizon Videos Consistently via Diffusion Transformers

Jing Yang, Mayoore Jaiswal, Zian Wang +4

Diffusion-based video relighting enables controllable relighting from a single input video, but modern video diffusion backbones are trained on short clips and applied to long-hori…

cs.CV2026

Olbedo: An Albedo and Shading Aerial Dataset for Large-Scale Outdoor Environments

Shuang Song, Debao Huang, Deyan Deng +4

Intrinsic image decomposition (IID) of outdoor scenes is crucial for relighting, editing, and understanding large-scale environments, but progress has been limited by the lack of r…

cs.CV2026

ICTPolarReal: A Polarized Reflection and Material Dataset of Real World Objects

Jing Yang, Krithika Dharanikota, Emily Jia +2

Accurately modeling how real-world materials reflect light remains a core challenge in inverse rendering, largely due to the scarcity of real measured reflectance data. Existing ap…

cs.CV2026

DCARL: A Divide-and-Conquer Framework for Autoregressive Long-Trajectory Video Generation

Junyi Ouyang, Wenbin Teng, Gonglin Chen +2

Long-trajectory video generation is a crucial yet challenging task for world modeling primarily due to the limited scalability of existing video diffusion models (VDMs). Autoregres…

cs.CV2025

Mind-to-Face: Neural-Driven Photorealistic Avatar Synthesis via EEG Decoding

Haolin Xiong, Tianwen Fu, Pratusha Bhuvana Prasad +5

Current expressive avatar systems rely heavily on visual cues, failing when faces are occluded or when emotions remain internal. We present Mind-to-Face, the first framework that d…