6 citations · 7 across the 9 of their papers we have counts for
11 papers
HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding
Ji Ha Jang, Hayeon Kim, Chulwon Lee +2
CLIP (Contrastive Language-Image Pre-training) has become a de facto paradigm for image-text alignment, but it struggles with long-context descriptions (>77 tokens) due to absolute…
Erasing Thousands of Concepts: Towards Scalable and Practical Concept Erasure for Text-to-Image Diffusion Models
Hoigi Seo, Byung Hyun Lee, Jaehyun Cho +2
Large-scale text-to-image (T2I) diffusion models deliver remarkable visual fidelity but pose safety risks due to their capacity to reproduce undesirable content, such as copyrighte…
Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models
Hayeon Kim, Ji Ha Jang, Junghun James Kim +1
While Vision-Language Models (VLMs) have achieved remarkable performance, their Euclidean embeddings remain limited in capturing hierarchical relationships such as part-to-whole or…
Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling
Hayeon Kim, Ji Ha Jang, Se Young Chun
Recent advances in 3D neural representations and instance-level editing models have enabled the efficient creation of high-quality 3D content. However, achieving precise local 3D e…
Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution
Junseo Bang, Joonhee Lee, Kyeonghyun Lee +3
Arbitrary-scale image super-resolution aims to upsample images to any desired resolution, offering greater flexibility than traditional fixed-scale super-resolution. Recent approac…
Geometrical Properties of Text Token Embeddings for Strong Semantic Binding in Text-to-Image Generation
Hoigi Seo, Junseo Bang, Haechang Lee +3
Text-to-image (T2I) models often suffer from text-image misalignment in complex scenes involving multiple objects and attributes. Semantic binding has attempted to associate the ge…
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding
Ji Ha Jang, Hoigi Seo, Se Young Chun
Affordance denotes the potential interactions inherent in objects. The perception of affordance can enable intelligent agents to navigate and interact with new environments efficie…
Short-term Object Interaction Anticipation with Disentangled Object Detection @ Ego4D Short Term Object Interaction Anticipation Challenge
Hyunjin Cho, Dong Un Kang, Se Young Chun
Short-term object interaction anticipation is an important task in egocentric video analysis, including precise predictions of future interactions and their timings as well as the…
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion
Gwanghyun Kim, Hayeon Kim, Hoigi Seo +2
Generating higher-resolution human-centric scenes with details and controls remains a challenge for existing text-to-image diffusion models. This challenge stems from limited train…
Detailed Human-Centric Text Description-Driven Large Scene Synthesis
Gwanghyun Kim, Dong Un Kang, Hoigi Seo +2
Text-driven large scene image synthesis has made significant progress with diffusion models, but controlling it is challenging. While using additional spatial controls with corresp…
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
Hoigi Seo, Hayeon Kim, Gwanghyun Kim +1
The increasing demand for high-quality 3D content creation has motivated the development of automated methods for creating 3D object models from a single image and/or from a text p…