Heading to #CVPR2026! We present 🖐️🌏 𝐃𝐞𝐱𝐭𝐞𝐫𝐨𝐮𝐬 𝐖𝐨𝐫𝐥𝐝 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐃𝐖𝐌) — a scene-action-conditioned video diffusion model that simulates human manipulation in static 3D scenes from egocentric hand motions. 👥 Byungjun Kim, Taeksoo Kim(co-first, @taeksu98), Junyoung Lee(@junc0ng), and Hanbyul Joo(@jhugestar) 📄 Paper: arxiv.org/abs/2512.17907 🌐 Project Page: snuvclab.github.io/dwm/ 💻 Code: github.com/snuvclab/dwm 📍 Main Poster - Jun 7 (Sun), 11:45–13:45 (ExHall F, #97) Also at: 🎬VideoWorldModel Workshop - Jun 3 (Wed), 9:50–10:40 (Room 705/707) 🤖 H2R Workshop - Jun 4 (Thu), 12:15–13:30 (Mile High 2A) See you in Denver!

🚀 Excited to share that our paper, “Vanast: Virtual Try-On with Human Image Animation via Synthetic Triplet Supervision” will be presented at CVPR 2026 as a Highlight 🎉 In this work, we introduce a unified framework that directly generates garment-transferred human animation videos from a single human image, garment images, and a pose guidance video—eliminating the limitations of conventional two-stage pipelines. 🔑 Key contributions: • A single-stage framework for virtual try-on with human animation • A scalable synthetic triplet supervision pipeline enabling large-scale training • A Dual Module architecture that improves garment fidelity, pose adherence, and identity preservation • Support for zero-shot garment interpolation and multi-garment transfer Our approach achieves strong performance across multiple benchmarks and produces high-fidelity, identity-consistent animation results. 🙏 I’m truly grateful to my collaborators @wonjung_woo, @byungjun__kim, and my advisor @jhugestar for their invaluable support. 🔗 Project page: hyunsoocha.github.io/vanast/ 📰 I’ll be presenting at Poster Session 1 in the Exhibit Hall! 📍 ExHall A–F | 🕙 10:45 AM – 12:45 PM | 📌 Poster #369 #CVPR2026 #Highlight #ComputerVision #GenerativeAI #VirtualTryOn #HumanAnimation #DiffusionModels

Heading to #CVPR2026! We present 🖐️🌏 𝐃𝐞𝐱𝐭𝐞𝐫𝐨𝐮𝐬 𝐖𝐨𝐫𝐥𝐝 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐃𝐖𝐌) — a scene-action-conditioned video diffusion model that simulates human manipulation in static 3D scenes from egocentric hand motions. 👥 Byungjun Kim, Taeksoo Kim(co-first, @taeksu98), Junyoung Lee(@junc0ng), and Hanbyul Joo(@jhugestar) 📄 Paper: arxiv.org/abs/2512.17907 🌐 Project Page: snuvclab.github.io/dwm/ 💻 Code: github.com/snuvclab/dwm 📍 Main Poster - Jun 7 (Sun), 11:45–13:45 (ExHall F, #97) Also at: 🎬VideoWorldModel Workshop - Jun 3 (Wed), 9:50–10:40 (Room 705/707) 🤖 H2R Workshop - Jun 4 (Thu), 12:15–13:30 (Mile High 2A) See you in Denver!

One prompt. Any target. Introducing TAViD: Target-Aware Video Diffusion Models Presenting at #ICLR2026 🎉 w/ @jhugestar (1/5)

We introduce 🖐️🌏 𝐃𝐞𝐱𝐭𝐞𝐫𝐨𝐮𝐬 𝐖𝐨𝐫𝐥𝐝 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐃𝐖𝐌) — a scene-action-conditioned video diffusion model that simulates human manipulation in static 3D scenes from egocentric hand motions. 📄 Paper: arxiv.org/abs/2512.17907 🌐 Project Page: snuvclab.github.io/dwm/

Excited to announce the Virtual Try-On workshop at #CVPR2024 ! Join us on June 17th from 1:30-6pm for an incredible lineup of keynote speakers and invited short talks. vto-cvpr24.github.io/