Sida Peng

26

Papers

620

Total Citations

Papers (26)

GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed

IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination

Generating Human Motion in 3D Scenes from Text Descriptions

Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation

SAM-guided Graph Cut for 3D Instance Segmentation

EnvGS: Modeling View-Dependent Appearance with Environment Gaussian

FreeTimeGS: Free Gaussian Primitives at Anytime Anywhere for Dynamic Scene Reconstruction

Multi-view Reconstruction via SfM-guided Monocular Depth Estimation

BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation

Motion-2-to-3: Leveraging 2D Motion Data for 3D Motion Generations

Relightable and Animatable Neural Avatar from Sparse-View Video

SpatialTracker: Tracking Any 2D Pixels in 3D Space

4K4D: Real-Time 4D View Synthesis at 4K Resolution

Detector-Free Structure from Motion

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation

Rapid 3D Model Generation with Intuitive 3D Input

StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models

ReTracker: Exploring Image Matching for Robust Online Any Point Tracking

MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space

Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models

Precise Action-to-Video Generation Through Visual Action Prompts

UniVerse: Unleashing the Scene Prior of Video Diffusion Models for Robust Radiance Field Reconstruction

ERNet: Efficient Non-Rigid Registration Network for Point Sequences

EgoAgent: A Joint Predictive Agent Model in Egocentric Worlds

Hierarchy UGP: Hierarchy Unified Gaussian Primitive for Large-Scale Dynamic Scene Reconstruction