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Found 14 papers, 5 papers with code
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation
Secondly, it standardizes the training of different tasks into a general in-context learning, where "in-context" means the input comprises an example input-output pair of the target task and a query image.
GenN2N: Generative NeRF2NeRF Translation
We present GenN2N, a unified NeRF-to-NeRF translation framework for various NeRF translation tasks such as text-driven NeRF editing, colorization, super-resolution, inpainting, etc.
UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding
Training data is collected via a human-centric process with offline and online stages.
Visual-Tactile Sensing for In-Hand Object Reconstruction
We propose a simulation environment, VT-Sim, which supports generating hand-object interaction for both rigid and deformable objects.
Freestyle Layout-to-Image Synthesis
In this work, we explore the freestyle capability of the model, i. e., how far can it generate unseen semantics (e. g., classes, attributes, and styles) onto a given layout, and call the task Freestyle LIS (FLIS).
GarmentTracking: Category-Level Garment Pose Tracking
In this work, we present a complete package to address the category-level garment pose tracking task: (1) A recording system VR-Garment, with which users can manipulate virtual garment models in simulation through a VR interface.
ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution
In this work, we propose a recording system, GarmentTwin, which can track garment poses in dynamic settings such as manipulation.
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval
With the full representation of the object shape and joint states, we can address several tasks including category-level object pose estimation and the articulated object retrieval.
Region-aware Adaptive Instance Normalization for Image Harmonization
To ensure the visual style consistency between the foreground and the background, in this paper, we treat image harmonization as a style transfer problem.
Ranked #4 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
Towards Real-World Category-level Articulation Pose Estimation
This setting allows varied kinematic structures within a semantic category, and multiple instances to co-exist in an observation of real world.
Toward Fine-grained Facial Expression Manipulation
Previous methods edit an input image under the guidance of a discrete emotion label or absolute condition (e. g., facial action units) to possess the desired expression.
Dense RepPoints: Representing Visual Objects with Dense Point Sets
We present a new object representation, called Dense RepPoints, that utilizes a large set of points to describe an object at multiple levels, including both box level and pixel level.
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
Learning autonomous-driving policies is one of the most challenging but promising tasks for computer vision.
