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Found 18 papers, 11 papers with code
Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation
Prompts play a critical role in unleashing the power of language and vision foundation models for specific tasks.
Representing Long Volumetric Video with Temporal Gaussian Hierarchy
In addition, the tree-like structure of the Gaussian hierarchy allows us to efficiently represent the scene at a particular moment with a subset of Gaussian primitives, leading to nearly constant GPU memory usage during the training or rendering regardless of the video length.
Rydberg Atomic Quantum Receivers for Classical Wireless Communications and Sensing: Their Models and Performance
Our scheme and model provide explicit design guidance to RAQR-aided wireless systems.
EasyVolcap: Accelerating Neural Volumetric Video Research
Volumetric video is a technology that digitally records dynamic events such as artistic performances, sporting events, and remote conversations.
4K4D: Real-Time 4D View Synthesis at 4K Resolution
Experiments show that our representation can be rendered at over 400 FPS on the DNA-Rendering dataset at 1080p resolution and 80 FPS on the ENeRF-Outdoor dataset at 4K resolution using an RTX 4090 GPU, which is 30x faster than previous methods and achieves the state-of-the-art rendering quality.
CPPF: A contextual and post-processing-free model for automatic speech recognition
To address this issue, we draw inspiration from the multifaceted capabilities of LLMs and Whisper, and focus on integrating multiple ASR text processing tasks related to speech recognition into the ASR model.
Relightable and Animatable Neural Avatar from Sparse-View Video
Based on the HDQ algorithm, we leverage sphere tracing to efficiently estimate the surface intersection and light visibility.
Detector-Free Structure from Motion
We propose a new detector-free SfM framework to draw benefits from the recent success of detector-free matchers to avoid the early determination of keypoints, while solving the multi-view inconsistency issue of detector-free matchers.
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models
We propose a new method for object pose estimation without CAD models.
Reconstructing Hand-Held Objects from Monocular Video
The key idea is that the hand motion naturally provides multiple views of the object and the motion can be reliably estimated by a hand pose tracker.
Neural 3D Reconstruction in the Wild
We are witnessing an explosion of neural implicit representations in computer vision and graphics.
OnePose: One-Shot Object Pose Estimation without CAD Models
We propose a new method named OnePose for object pose estimation.
Modeling Indirect Illumination for Inverse Rendering
The key insight is that indirect illumination can be conveniently derived from the neural radiance field learned from input images instead of being estimated jointly with direct illumination and materials.
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
We present a novel framework named NeuralRecon for real-time 3D scene reconstruction from a monocular video.
LoFTR: Detector-Free Local Feature Matching with Transformers
We present a novel method for local image feature matching.
You Don't Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking
In this work, we propose a novel system for integrated 3D object detection and tracking, which uses a dynamic object occupancy map and previous object states as spatial-temporal memory to assist object detection in future frames.
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view.
Ranked #11 on
3D Multi-Person Pose Estimation (absolute)
on MuPoTS-3D
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images.
3D Object Detection From Stereo Images
Disparity Estimation
+2
