Shubham Tulsiani
Assistant Professor
Studies 3D computer vision, including 3D reconstruction and generative models of objects and scenes.
Shubham Tulsiani's lab at CMU works on 3D vision & neural rendering, embodied & active vision and generative & foundation models. 35 papers since 2023, 31 at top venues, mostly CVPR and 3DV. 5 PhD students and 5 master's students. 13 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 89%
- PhD students
- 5
- MS students
- 5
- alumni listed
- 13
Papers by yearfrom the lab homepage, 2023–2026
- 10 papers2026 · T1 9 · collecting
- 9 papers2025 · T1 7
- 9 papers2024 · T1 8
- 7 papers2023 · T1 7
T1 venuesOtherVenues: CVPR, 3DV, ICCV, ICRA, ECCV
Research focuspaper titles that use each topic's words
- Generative & foundation models4 papers
- 3D vision & neural rendering3 papers
- Embodied & active vision0 papers
- scenes0 papers
- objects0 papers
Paper list
From the lab homepage.
202610 papers
- CVPR (T1)[New] E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training (opens in a new tab)
- CVPR (T1)[New] EditCtrl: Disentangled Local and Global Control for Real-Time Generative Video Editing (opens in a new tab)
- CVPR (T1)[New] Flow3r: Factored Flow Prediction for Scalable Visual Geometry Learning (opens in a new tab)
- RSS (T1)[New] GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation (opens in a new tab)
- SIGGRAPH Asia (T1)[New] Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild (opens in a new tab)
- ECCV (T1)[New] RayRoPE: Projective Ray Positional Encoding for Multi-view Attention (opens in a new tab)
- ICML (T1)[New] Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models (opens in a new tab)
- ICLR (T1)CRISP: Contact-Guided Real2Sim from Monocular Video with Planar Scene Primitives (opens in a new tab)
- ICRA (T1)DemoDiffusion: One-Shot Human Imitation using Pre-trained Diffusion Policy (opens in a new tab)
- 3DVPredicting 4D Hand Trajectory from Monocular Videos (opens in a new tab)
20259 papers
- CVPR (T1)AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis (opens in a new tab)
- CVPR (T1)DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion (opens in a new tab)
- 3DVDressRecon: Freeform 4D Human Reconstruction from Monocular Video (opens in a new tab)
- CoRL (T1)Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation (opens in a new tab)
- ICCV (T1)LightSwitch: Multi-view Relighting with Material-guided Diffusion (opens in a new tab)
- 3DVMaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors (opens in a new tab)
- CVPR (T1)SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation (opens in a new tab)
- CVPR (T1)Turbo3D: Ultra-fast Text-to-3D Generation (opens in a new tab)
- CVPR (T1)UniPhy: Learning a Unified Constitutive Model for Inverse Physics Simulation (opens in a new tab)
20249 papers
- ICLR (T1)Cameras as Rays: Pose Estimation via Ray Diffusion (opens in a new tab)
- CVPR (T1)G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis (opens in a new tab)
- CVPR (T1)MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation (opens in a new tab)
- 3DVRelPose++: Recovering 6D Poses from Sparse-view Observations (opens in a new tab)
- ICRA (T1)RoboAgent: Towards Sample Efficient Robot Manipulation with Semantic Augmentations and Action Chunking (opens in a new tab)
- NeurIPS (T1)Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis (opens in a new tab)
- ICRA (T1)Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans (opens in a new tab)
- ECCV (T1)Track2Act: Predicting Point Tracks from Internet Videos Enables Diverse Zero-shot Manipulation (opens in a new tab)
- ECCV (T1)UpFusion: Novel View Diffusion from Unposed Sparse View Observations (opens in a new tab)
20237 papers
- CVPR (T1)Affordance Diffusion: Synthesizing Hand-Object Interactions (opens in a new tab)
- ICLR (T1)Analogy-Forming Transformers for Few-Shot 3D Parsing (opens in a new tab)
- ICCV (T1)Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips (opens in a new tab)
- ICCV (T1)Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations (opens in a new tab)
- ICCV (T1)Mesh2Tex: Generating Mesh Textures from Image Queries (opens in a new tab)
- CVPR (T1)SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction (opens in a new tab)
- ICRA (T1)Visual Affordance Prediction for Guiding Robot Exploration (opens in a new tab)
Where alumni went13 listed
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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