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20222026
most citedNeural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence

4 citations · 4 across the 4 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric Representation

Jisu Nam, Yicong Hong, Chun-Hao Paul Huang +9

Recent advances in video diffusion transformers have enabled interactive gaming world models that allow users to explore generated environments over extended horizons. However, exi…

cs.CV2026

CORAL: Correspondence Alignment for Improved Virtual Try-On

Jiyoung Kim, Youngjin Shin, Siyoon Jin +6

Existing methods for Virtual Try-On (VTON) often struggle to preserve fine garment details, especially in unpaired settings where accurate person-garment correspondence is required…

cs.CV2025

Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression

Jung Yi, Wooseok Jang, Paul Hyunbin Cho +3

Recent advances in autoregressive video diffusion have enabled real-time frame streaming, yet existing solutions still suffer from temporal repetition, drift, and motion decelerati…

cs.CV2025

MATRIX: Mask Track Alignment for Interaction-aware Video Generation

Siyoon Jin, Seongchan Kim, Dahyun Chung +5

Video DiTs have advanced video generation, yet they still struggle to model multi-instance or subject-object interactions. This raises a key question: How do these models internall…

cs.CV2025

Emergent Temporal Correspondences from Video Diffusion Transformers

Jisu Nam, Soowon Son, Dahyun Chung +4

Recent advancements in video diffusion models based on Diffusion Transformers (DiTs) have achieved remarkable success in generating temporally coherent videos. Yet, a fundamental q…

cs.CV2025

Visual Persona: Foundation Model for Full-Body Human Customization

Jisu Nam, Soowon Son, Zhan Xu +6

We introduce Visual Persona, a foundation model for text-to-image full-body human customization that, given a single in-the-wild human image, generates diverse images of the indivi…