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Umar Iqbal
NVIDIA
Interests
Computer Vision
Digital Humans
Motion Capture
Latest
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation
GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning
Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation
Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
PACE: Human and Camera Motion Estimation from in-the-wild Videos
Generalizable One-shot Neural Head Avatar
Learning Human Dynamics in Autonomous Driving Scenarios
PhysDiff: Physics-Guided Human Motion Diffusion Model
RANA: Relightable and Articulated Neural Avatars
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects
DRaCoN--Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars
KAMA: 3D Keypoint Aware Body Mesh Articulation
Self-Supervised Object Detection via Generative Image Synthesis
Adversarial Motion Modelling Helps Semi-Supervised Hand Pose Estimation
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
Learning to Track Instances without Video Annotations
Weakly-Supervised Physically Unconstrained Gaze Estimation
Self-Supervised Viewpoint Learning from Image Collections
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
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