Resume
Academic Achievements
- OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions, NeurIPS 2025
- AniTex: light-geometry consistent PBR Material Generation for Animatable Objects, SIGGRAPH ASIA 2025
- Generating 360 Video is What You Need For a 3D Scene, SIGGRAPH ASIA 2025
- MaterialPicker: Multi-Modal DiT-Based Material Generation, ACM Transactions on Graphics (SIGGRAPH 2025)
- Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors, CVPR 2025
- Turbo3D: Ultra-fast Text-to-3D Generation, CVPR 2025
- RelitLRM: Generative Relightable Radiance for Large Reconstruction Models, ICLR 2025
- Procedural Material Generation with Reinforcement Learning, ACM Transactions on Graphics (SIGGRAPH ASIA 2024)
- TexSliders: Diffusion-Based Texture Editing in CLIP Space, SIGGRAPH 2024
- RGB↔X: Image Decomposition and Synthesis Using Material- and Lighting-aware Diffusion Models, SIGGRAPH 2024
- Generating Procedural Materials from Text or Image Prompts, SIGGRAPH 2023
- Multirate Shading with Piecewise Interpolatory Approximation, Computer Graphics Forum (PG 2022)
- Node Graph Optimization Using Differentiable Proxies, SIGGRAPH 2022
Background
- Research Scientist at Adobe Research
- Research focuses on 2D and 3D graphics, with a special interest in generative AI for content creation
- Shipped multiple GenAI 2D/3D workflows in Substance 3D Viewer, Substance 3D Stager, and Substance 3D API as Firefly Service involving generative asset creation and composition
- Exploring more interesting multi-modality content creation methods, models, and workflows
- Open to collaborations and welcomes strong Ph.D. students interested in research internships at Adobe Research