activity
20172026
most citedBodyMap: Learning Full-Body Dense Correspondence Map

1 citations · 2 across the 17 of their papers we have counts for

collaborators

20 papers

cs.GR2026

AssetGen: Deployable 3D Asset Generation at Interactive Speed

Dilin Wang, Xiaoyu Xiang, Kihyuk Sohn +14

While 3D generation is progressing rapidly, recent work has often focused on obtaining high-resolution assets, leaving user experience and deployability as afterthoughts. We presen…

cs.GR2026

HyperBones: Realtime Bone-driven Neural Garment Simulation with Hypernetwork Conditioning

Astitva Srivastava, Hsiao-Yu Chen, Ryan Goldade +8

Recent advances in cloth simulation have led to accurate garment physics, but the methods are computationally expensive for real-time applications. In contrast, Linear Blend Skinni…

cs.GR2026

PhySkin: Physics-based Bone-driven Neural Garment Simulation

Astitva Srivastava, Hsiao-yu Chen, Ryan Goldade +7

Recent advances in digital avatar technology have enabled the generation of compelling virtual characters, but deploying these avatars on compute-constrained devices poses signific…

cs.CV2025

WorldGen: From Text to Traversable and Interactive 3D Worlds

Dilin Wang, Hyunyoung Jung, Tom Monnier +22

We introduce WorldGen, a system that enables the automatic creation of large-scale, interactive 3D worlds directly from text prompts. Our approach transforms natural language descr…

cs.GR2025

PGC: Physics-Based Gaussian Cloth from a Single Pose

Michelle Guo, Matt Jen-Yuan Chiang, Igor Santesteban +9

We introduce a novel approach to reconstruct simulation-ready garments with intricate appearance. Despite recent advancements, existing methods often struggle to balance the need f…

cs.CV2025

UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping

Aashish Rai, Dilin Wang, Mihir Jain +4

3D Gaussian Splatting (3DGS) has demonstrated superior quality in modeling 3D objects and scenes. However, generating 3DGS remains challenging due to their discrete, unstructured,…