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20232026
most citedSkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery

7 citations · 16 across the 58 of their papers we have counts for

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Showing 2024Show all

18 papers · 1 filter

cs.CV2024

Cross-View Image Set Geo-Localization

Qiong Wu, Panwang Xia, Lei Yu +7

Cross-view geo-localization (CVGL) has been widely applied in fields such as robotic navigation and augmented reality. Existing approaches primarily use single images or fixed-view…

cs.CV2024

LokiTalk: Learning Fine-Grained and Generalizable Correspondences to Enhance NeRF-based Talking Head Synthesis

Tianqi Li, Ruobing Zheng, Bonan Li +4

Despite significant progress in talking head synthesis since the introduction of Neural Radiance Fields (NeRF), visual artifacts and high training costs persist as major obstacles…

cs.GR2024

GraphicsDreamer: Image to 3D Generation with Physical Consistency

Pei Chen, Fudong Wang, Yixuan Tong +3

Recently, the surge of efficient and automated 3D AI-generated content (AIGC) methods has increasingly illuminated the path of transforming human imagination into complex 3D struct…

cs.CV2024

MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation

Shuwei Shi, Biao Gong, Xi Chen +9

The image-to-video (I2V) generation is conditioned on the static image, which has been enhanced recently by the motion intensity as an additional control signal. These motion-aware…

cs.CV2024

Mimir: Improving Video Diffusion Models for Precise Text Understanding

Shuai Tan, Biao Gong, Yutong Feng +6

Text serves as the key control signal in video generation due to its narrative nature. To render text descriptions into video clips, current video diffusion models borrow features…

cs.CV2024

Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual Prompts

Honglin Li, Yuting Gao, Chenglu Zhu +3

Multimodal large language models (MLLMs) are closing the gap to human visual perception capability rapidly, while, still lag behind on attending to subtle images details or locatin…

cs.CV2024

Try-On-Adapter: A Simple and Flexible Try-On Paradigm

Hanzhong Guo, Jianfeng Zhang, Cheng Zou +6

Image-based virtual try-on, widely used in online shopping, aims to generate images of a naturally dressed person conditioned on certain garments, providing significant research an…

cs.CV2024

HomoMatcher: Dense Feature Matching Results with Semi-Dense Efficiency by Homography Estimation

Xiaolong Wang, Lei Yu, Yingying Zhang +6

Feature matching between image pairs is a fundamental problem in computer vision that drives many applications, such as SLAM. Recently, semi-dense matching approaches have achieved…

cs.CV2024★ 2 cited

Ditto: Motion-Space Diffusion for Controllable Realtime Talking Head Synthesis

Tianqi Li, Ruobing Zheng, Minghui Yang +2

Recent advances in diffusion models have endowed talking head synthesis with subtle expressions and vivid head movements, but have also led to slow inference speed and insufficient…

cs.CV2024

LumiSculpt: Enabling Consistent Portrait Lighting in Video Generation

Yuxin Zhang, Dandan Zheng, Biao Gong +5

Lighting plays a pivotal role in ensuring the naturalness and aesthetic quality of video generation. However, the impact of lighting is deeply coupled with other factors of videos,…

cs.CV2024

Animate-X: Universal Character Image Animation with Enhanced Motion Representation

Shuai Tan, Biao Gong, Xiang Wang +6

Character image animation, which generates high-quality videos from a reference image and target pose sequence, has seen significant progress in recent years. However, most existin…

cs.CV2024

StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models

Wen Li, Muyuan Fang, Cheng Zou +5

Despite the burst of innovative methods for controlling the diffusion process, effectively controlling image styles in text-to-image generation remains a challenging task. Many ada…

cs.CV2024

POA: Pre-training Once for Models of All Sizes

Yingying Zhang, Xin Guo, Jiangwei Lao +7

Large-scale self-supervised pre-training has paved the way for one foundation model to handle many different vision tasks. Most pre-training methodologies train a single model of a…

cs.CV2024

Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight

Ziyuan Huang, Kaixiang Ji, Biao Gong +6

This paper introduces Chain-of-Sight, a vision-language bridge module that accelerates the pre-training of Multimodal Large Language Models (MLLMs). Our approach employs a sequence…

cs.CV2024★ 4 cited

SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding

Junwei Luo, Zhen Pang, Yongjun Zhang +8

Remote Sensing Large Multi-Modal Models (RSLMMs) are developing rapidly and showcase significant capabilities in remote sensing imagery (RSI) comprehension. However, due to the lim…

cs.CV2024★ 1 cited

Enhancing DETRs Variants through Improved Content Query and Similar Query Aggregation

Yingying Zhang, Chuangji Shi, Xin Guo +4

The design of the query is crucial for the performance of DETR and its variants. Each query consists of two components: a content part and a positional one. Traditionally, the cont…

cs.CV2024

Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis

Zicheng Zhang, Ruobing Zheng, Ziwen Liu +7

Recent works in implicit representations, such as Neural Radiance Fields (NeRF), have advanced the generation of realistic and animatable head avatars from video sequences. These i…

cs.CV2024

M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining

Qingpei Guo, Furong Xu, Hanxiao Zhang +6

Vision-language foundation models like CLIP have revolutionized the field of artificial intelligence. Nevertheless, VLM models supporting multi-language, e.g., in both Chinese and…