112 citations · 114 across the 10 of their papers we have counts for
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MMDiff: Extending Diffusion Transformers for Multi-Modal Generation
Yagmur Akarken, Orest Kupyn, Christian Rupprecht
Diffusion transformers have demonstrated remarkable generative capabilities, yet the rich perceptual representations computed across their denoising trajectory are discarded once t…
FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation
Orest Kupyn, Goutam Bhat, Philipp Henzler +3
Generating explorable 3D scenes from a single image requires strong generative priors and accurate geometric representations suitable for downstream use. Current video diffusion mo…
PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models
Lorenza Prospero, Orest Kupyn, Ostap Viniavskyi +2
Acquiring labeled datasets for 3D human mesh estimation is challenging due to depth ambiguities and the inherent difficulty of annotating 3D geometry from monocular images. Existin…
VGGRPO: Towards World-Consistent Video Generation with 4D Latent Reward
Zhaochong An, Orest Kupyn, Théo Uscidda +5
Large-scale video diffusion models achieve impressive visual quality, yet often fail to preserve geometric consistency. Prior approaches improve consistency either by augmenting th…