activity
20192026
most citedLIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos

33 citations · 36 across the 17 of their papers we have counts for

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Showing 2025Show all

12 papers · 1 filter

cs.CV2025

VHOI: Controllable Video Generation of Human-Object Interactions from Sparse Trajectories via Motion Densification

Wanyue Zhang, Lin Geng Foo, Thabo Beeler +2

Synthesizing realistic human-object interactions (HOI) in video is challenging due to the complex, instance-specific interaction dynamics of both humans and objects. Incorporating…

cs.CV2025

Relightable Holoported Characters: Capturing and Relighting Dynamic Human Performance from Sparse Views

Kunwar Maheep Singh, Jianchun Chen, Vladislav Golyanik +5

We present Relightable Holoported Characters (RHC), a novel person-specific method for free-view rendering and relighting of full-body and highly dynamic humans solely observed fro…

cs.CV2025

Towards Reliable Human Evaluations in Gesture Generation: Insights from a Community-Driven State-of-the-Art Benchmark

Rajmund Nagy, Hendric Voss, Thanh Hoang-Minh +18

We review human evaluation practices in automatic, speech-driven 3D gesture generation and find a lack of standardisation and frequent use of flawed experimental setups. This leads…

cs.CV2025

PractiLight: Practical Light Control Using Foundational Diffusion Models

Yotam Erel, Rishabh Dabral, Vladislav Golyanik +2

Light control in generated images is a difficult task, posing specific challenges, spanning over the entire image and frequency spectrum. Most approaches tackle this problem by tra…

cs.CV2025

Follow My Hold: Hand-Object Interaction Reconstruction through Geometric Guidance

Ayce Idil Aytekin, Helge Rhodin, Rishabh Dabral +1

We propose a novel diffusion-based framework for reconstructing 3D geometry of hand-held objects from monocular RGB images by leveraging hand-object interaction as geometric guidan…

cs.CV2025

Physics-based Human Pose Estimation from a Single Moving RGB Camera

Ayce Idil Aytekin, Chuqiao Li, Diogo Luvizon +4

Most monocular and physics-based human pose tracking methods, while achieving state-of-the-art results, suffer from artifacts when the scene does not have a strictly flat ground pl…