17 citations · 25 across the 45 of their papers we have counts for
23 papers · 1 filter
ACEdit: Stable Multi-Turn Image Editing via Asymmetric Conditioning
Sara Dorfman, Nir Goren, Gal Barak +2
Image editing models produce impressive results for individual edits, but their quality often deteriorates over multiple editing turns. Each editing turn introduces small distribut…
Learning to Read the Contextual Tokens in Diffusion Transformers
Omer Dahary, Etai Sella, Hadar Averbuch-Elor +2
Multimodal Diffusion Transformers (MM-DiTs) jointly process visual and textual representations throughout generation. These models repeatedly update the text tokens through multimo…
Soundwich: Video Generation with Layered and Controllable Audio
Zhuo Ning, AmirHossein Naghi Razlighi, Sagi Polaczek +2
Recent joint audio-video generative models can synthesize realistic videos with synchronized sound, but typically generate audio as a single mixed track. This limits source-level c…
The Attention Triangle in Audio-Video Models
Sagi Polaczek, Noa Kraicer, Gal Metzer +4
Audio-video diffusion models rely on cross-modal attention to coordinate text, sound, and visual content, yet this same mechanism can introduce subtle and systematic semantic leaka…
Latent-Identity Tuning in Text-to-Image Personalization Models
Daniel Garibi, Ronen Kamenetsky, Hadar Averbuch-Elor +2
Generating and editing a person's face demands high precision, as even minor modifications can significantly alter a subject's perceived identity. Current personalization and editi…
Analysis-by-Proxy: Localization Signals in VLMs Operating as Condition Encoders
Yoav Baron, Sara Dorfman, Roni Paiss +2
Vision-Language Models (VLMs) are increasingly utilized as the conditioning backbone for diffusion-based image editing due to their remarkable multimodal reasoning capabilities. Wh…
Capacity-Controlled Multi-View Stylization of 3D Gaussian Splatting
Zhihao Wen, Yixin Yang, Bojian Wu +4
While 3D Gaussian Splatting (3DGS) provides an efficient and explicit representation for novel view synthesis, enforcing stylistic coherence across viewpoints remains challenging.…
Token-to-Token Alignment of Text Embeddings for Semantic Blending
Saar Huberman, Ron Mokady, Or Patashnik +1
In modern generative models, images are specified and controlled through text prompts. In practice, images are generated from sequences of tokens derived from these prompts. Howeve…
Semantic Browsing: Controllable Diversity for Image Generation
Sara Dorfman, Maya Vishnevsky, Omer Dahary +2
Modern text-to-image models excel in visual fidelity and prompt adherence. However, this strict adherence comes at the cost of diversity: generated samples tend to collapse into a…
MultiAct: Text-to-Motion Generation from Composite Text via Tailored Attention Guidance
Nathan Sala, Ofir Abramovich, Ariel Shamir +3
Text-to-motion generation has progressed rapidly in recent years, offering an expressive interface for animation and human-computer interaction. However, current models remain brit…
Sound Sparks Motion: Audio and Text Tuning for Video Editing
AmirHossein Naghi Razlighi, Aryan Mikaeili, Ali Mahdavi-Amiri +2
Motion-centric video editing remains difficult for large generative video models, which often respond well to appearance changes but struggle to produce specific, localized actions…
Semantic-Structural Alignment for Generative Pictorial Charts
Zhida Sun, Yulin Zhang, Zheng Gu +4
Traditional statistical graphics are precise but often lack the visual appeal, memorability, and engagement of pictorial charts. We present a generative framework for the automated…
Video Analysis and Generation via a Semantic Progress Function
Gal Metzer, Sagi Polaczek, Ali Mahdavi-Amiri +2
Transformations produced by image and video generation models often evolve in a highly non-linear manner: long stretches where the content barely changes are followed by sudden, ab…
HDR Video Generation via Latent Alignment with Logarithmic Encoding
Naomi Ken Korem, Mohamed Oumoumad, Harel Cain +8
High dynamic range (HDR) imagery offers a rich and faithful representation of scene radiance, but remains challenging for generative models due to its mismatch with the bounded, pe…
RealMaster: Lifting Rendered Scenes into Photorealistic Video
Dana Cohen-Bar, Ido Sobol, Raphael Bensadoun +5
State-of-the-art video generation models produce remarkable photorealism, but they lack the precise control required to align generated content with specific scene requirements. Fu…
Cycle-Consistent Tuning for Layered Image Decomposition
Zheng Gu, Min Lu, Zhida Sun +3
Disentangling visual layers in real-world images is a persistent challenge in vision and graphics, as such layers often involve non-linear and globally coupled interactions, includ…
Abstraction in Style: Beyond Texture and Color
Min Lu, Yuanfeng He, Anthony Chen +4
Artistic styles often embed abstraction beyond surface appearance, involving deliberate reinterpretation of structure rather than mere changes in texture or color. Conventional sty…
On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers
Omer Dahary, Benaya Koren, Daniel Garibi +1
Modern Text-to-Image (T2I) diffusion models have achieved remarkable semantic alignment, yet they often suffer from a significant lack of variety, converging on a narrow set of vis…
PEGAsus: 3D Personalization of Geometry and Appearance
Jingyu Hu, Bin Hu, Ka-Hei Hui +4
We present PEGAsus, a new framework capable of generating Personalized 3D shapes by learning shape concepts at both Geometry and Appearance levels. First, we formulate 3D shape per…
Untwisting RoPE: Frequency Control for Shared Attention in DiTs
Aryan Mikaeili, Or Patashnik, Andrea Tagliasacchi +2
Positional encodings are essential to transformer-based generative models, yet their behavior in multimodal and attention-sharing settings is not fully understood. In this work, we…
ShapeUP: Scalable Image-Conditioned 3D Editing
Inbar Gat, Dana Cohen-Bar, Guy Levy +2
Recent advancements in 3D foundation models have enabled the generation of high-fidelity assets, yet precise 3D manipulation remains a significant challenge. Existing 3D editing fr…
JUST-DUB-IT: Video Dubbing via Joint Audio-Visual Diffusion
Anthony Chen, Naomi Ken Korem, Gal Zeevi +6
Audio-Visual Foundation Models, which are pretrained to jointly generate sound and visual content, have recently shown an unprecedented ability to model multi-modal generation and…
LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization
Etai Sella, Yoav Baron, Hadar Averbuch-Elor +2
Recent diffusion-based image editing methods commonly rely on text or high-level instructions to guide the generation process, offering intuitive but coarse control. In contrast, w…