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Paper Citation Record · LEDGER

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data

As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2412.11972.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.11972 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:29:30.079100Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

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  • unresolved5
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15713834-bd8e-4039-80a5-51d447fec3ce · outbound

This paper cites Flash diffusion: Accelerating any conditional diffusion model for few steps image gen- eration, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Flash diffusion: Accelerating any conditional diffusion model for few steps image gen- eration, 2024

Reference 1

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d9994d69-fac9-4089-9f4d-fb705552afbd · outbound

This paper cites Diffusion models in vi- sion: A survey.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Diffusion models in vi- sion: A survey

Reference 2

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Observation d5a0533c-21a4-4a17-864f-739a123e1cfd · outbound

This paper cites Nerdi: Single-view nerf syn- thesis with language-guided diffusion as general image priors.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Nerdi: Single-view nerf syn- thesis with language-guided diffusion as general image priors

Reference 3

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Observation a0edf881-b82d-42b8-aab0-751e7429f486 · outbound

This paper cites Blenderproc, 2019.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Blenderproc, 2019

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 38bb777e-4b6e-4038-aae1-0702b59f6e20 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Scaling rectified flow transformers for high-resolution image synthesis

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 281c0c97-147f-44bb-b366-98c23dc16846 · outbound

This paper cites Generative adversarial nets.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Generative adversarial nets

Reference 6

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Source-reported events for the cited work

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Observation 6a85019d-73f0-4ac2-9872-bf04f535d9a0 · outbound

This paper cites Modeling and anima- tion using blender: blender 2.80: the rise of Eevee.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Modeling and anima- tion using blender: blender 2.80: the rise of Eevee

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c7a0cb35-22d5-4e5e-95fd-9e22e9519825 · outbound

This paper cites Lotus: Diffusion-based visual foun- dation model for high-quality dense prediction, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Lotus: Diffusion-based visual foun- dation model for high-quality dense prediction, 2024

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9a4a50e6-2707-4bf9-b520-f17a8ad476b0 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Distilling the Knowledge in a Neural Network

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9860f880-08ca-4b2b-890a-d8dfb5c4621e · outbound

This paper cites Denoising diffusion probabilistic models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Denoising diffusion probabilistic models

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e8b69d53-b81f-49aa-89f4-81230dce9748 · outbound

This paper cites Shadow gen- eration for composite image in real-world scenes.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Shadow gen- eration for composite image in real-world scenes

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 56b0a3b4-ebd3-44a5-9b9d-8a3d8a7c604d · outbound

This paper cites Diffusion for natural image matting, 2023.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Diffusion for natural image matting, 2023

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 517ec39a-00c2-42a0-814e-8750efeaf0e1 · outbound

This paper cites Blender cycles: lighting and rendering cookbook.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Blender cycles: lighting and rendering cookbook

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9c9cfb01-6331-4e59-b9f6-466bc8ad1948 · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Repurposing diffusion-based image generators for monocular depth estimation

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.672802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 658da0b8-7fbb-4d1d-a14e-77dd02db3214 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data 3d gaussian splatting for real-time radiance field rendering

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.662151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 74218728-5207-40b4-9f20-3210bc928bb5 · outbound

This paper cites Variational diffusion models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Variational diffusion models

Reference 16

Resolution
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raw_fallback, observed 2026-08-11T14:29:30.650826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bbeaf497-c3b0-42a9-ab63-c087a8df8a4e · outbound

This paper cites Auto-encoding variational bayes,.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Auto-encoding variational bayes,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3ff1f3d5-8a26-4364-925e-20d41f216d20 · outbound

This paper cites Fast template matching.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Fast template matching

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f381ba22-a505-43e4-88bd-07eec0e37ea1 · outbound

This paper cites Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation adccd376-0c15-43f9-93c7-9cb5017e3a8d · outbound

This paper cites Controlnet++: Improving conditional controls with efficient consistency feedback.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Controlnet++: Improving conditional controls with efficient consistency feedback

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0fa82657-ee75-427a-bc14-1b5906395fbf · outbound

This paper cites Flow matching for generative modeling.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Flow matching for generative modeling

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e1bebfd7-5661-4201-a633-18aefb46cbd9 · outbound

This paper cites One- 2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data One- 2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e4bb150d-70ac-4e91-8716-4025e631b342 · outbound

This paper cites Shadow generation for com- posite image using diffusion model.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Shadow generation for com- posite image using diffusion model

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3e2f12c4-2574-4f9e-bf7a-d55868432ae3 · outbound

This paper cites Shadows shed light on 3d objects, 2022.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Shadows shed light on 3d objects, 2022

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7e14540a-11d7-4d0d-8a76-2bbece054e26 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Zero-1-to-3: Zero-shot one image to 3d object

Reference 25

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raw_fallback, observed 2026-08-11T14:29:30.534368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a7731a97-334e-4426-b974-f10a00f9f226 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5bab5d19-e878-46b4-a6c6-d7fcae091454 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion-based text-to-image generation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Instaflow: One step is enough for high-quality diffusion-based text-to-image generation

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 70ebcc4d-a2e2-4139-b2ee-5f14ff97cea3 · outbound

This paper cites Decoupled weight decay regularization.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Decoupled weight decay regularization

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:29:29.960899Z digest=sha256:f8c15737db486a497e39ce8af24d87c96da0f40be7a83e24b542de344c6a7279

Observation dc5abb5b-a7c1-4b56-925d-0bd87fd9a428 · outbound

This paper cites Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023

Reference 29

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raw_fallback, observed 2026-08-11T14:29:30.484206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c532f01d-cccd-4e7c-a6ba-5dd55fbf7497 · outbound

This paper cites On distillation of guided diffusion models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data On distillation of guided diffusion models

Reference 30

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raw_fallback, observed 2026-08-11T14:29:30.471779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 65ee536d-3f1f-456d-8955-b75223b3f18e · outbound

This paper cites Latent-nerf for shape- guided generation of 3d shapes and textures.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Latent-nerf for shape- guided generation of 3d shapes and textures

Reference 31

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raw_fallback, observed 2026-08-11T14:29:30.461057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.969867Z digest=sha256:c02fb70589a73ccd5e71d2e342e5ee2ab3425efaecf19df995737b14c12f2c4b

Observation 13c7af4d-d497-4767-84c5-66e50095731d · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Srinivasan, Matthew Tancik, Jonathan T

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.973472Z digest=sha256:6244cc2a9a8312703f62de6e518d28d1acfcd3d607ea2bceb3fbff48dcb1a193

Observation b0a90e4f-b615-4daf-8d67-06927536d3db · outbound

This paper cites T2i- adapter: Learning adapters to dig out more control- lable ability for text-to-image diffusion models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data T2i- adapter: Learning adapters to dig out more control- lable ability for text-to-image diffusion models

Reference 33

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raw_fallback, observed 2026-08-11T14:29:30.437351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.976891Z digest=sha256:59e1bb93d77b84ef9d3bbbd1be60be5d367df8f5251c9cda955419f8d707908b

Observation 173520eb-28ab-4dd8-ae9d-df762ceb1377 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.425306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.980290Z digest=sha256:68c43935cf095a75b94f1248b6aa2130d367cd7756032456c8f5b849f83fade0

Observation bd292a63-310b-4af2-ae78-4ec638db69f7 · outbound

This paper cites High- resolution image synthesis with latent diffusion mod- els.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data High- resolution image synthesis with latent diffusion mod- els

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.413615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.983566Z digest=sha256:698a9610d230708c3ad9319119a151770639274e4b0c7dee0e6b746b177df306

Observation c32b53c2-62a1-4299-b5fc-c3c8a084ca1d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data U-net: Convolutional networks for biomedical image segmentation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.402941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.987161Z digest=sha256:6d4d3dc116214fe20032853a1a2f0334660df36f05f6ffddcc563f35b948b0c2

Observation 9060e6fe-13e4-41e4-8fee-fdf21906efc2 · outbound

This paper cites Progressive distilla- tion for fast sampling of diffusion models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Progressive distilla- tion for fast sampling of diffusion models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.391902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.992274Z digest=sha256:9543b34b21cff581aa4d3c9184bb8a1f07391bd13794feae4736f7eda118dfce

Observation 6efcb1d2-2fd6-41c0-be55-04dc0d9a9361 · outbound

This paper cites Adversarial diffusion distillation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Adversarial diffusion distillation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.381475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:29.995995Z digest=sha256:798f4ee57efb05a07ac48975e9d81e72401659437c2e4a803b06f078bd90c5a5

Observation 671f54bf-d747-4c73-8fda-a28fa70fcd8d · outbound

This paper cites an unresolved cited work.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:29:30.371438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.000008Z digest=sha256:aeb18060decad3a52a10457171fedebc1830ebc8a15cb5a92cfdf9ce4d313c29

Observation 6ba23e74-7642-4224-9afd-9ba302eb4d87 · outbound

This paper cites Ssn: Soft shadow network for image compositing.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Ssn: Soft shadow network for image compositing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.361597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.004123Z digest=sha256:3ac6578fec488eff92d4645c8a5a3fa51fb8496dd2656dde60b549b1baac36d2

Observation 77279114-9f71-4b75-8d21-e00fd76f0a9b · outbound

This paper cites Controllable shadow generation using pixel height maps.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Controllable shadow generation using pixel height maps

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.349594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.007933Z digest=sha256:909a938f756d6546ef48f6ed2d3412a94de3d6c8e5f2b19af4101e39340ba407

Observation ea0a140a-9ec7-4dbc-99a8-2e799d5ffcdd · outbound

This paper cites Pixht-lab: Pixel height based light effect generation for image compositing.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Pixht-lab: Pixel height based light effect generation for image compositing

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.338347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.011556Z digest=sha256:0a6603489ac4415dfd2163431be41e774d6a19e3114a30bb843040df1622cd79

Observation 1181eef5-3126-4b53-8f9a-3b7c7da30e21 · outbound

This paper cites Realistic ray trac- ing.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Realistic ray trac- ing

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.326576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.015369Z digest=sha256:da1cfb7c8b2146ef0d3ffd9dc47298ee010a071c36694e597481459eead4e9cf

Observation 429f482d-456c-4c74-884c-8d6e500c00fd · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Deep unsupervised learning using nonequilibrium thermodynamics

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.313810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.019552Z digest=sha256:9d95b4d84c602768b1339aa758167a7b10f57894d68cfc3cc2cca7b3a64982a8

Observation 9d787d5a-1c0d-4f9b-b017-5c43cf854ea7 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Score-based generative modeling through stochastic differential equations

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.303275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.023608Z digest=sha256:992b215a58800f80041e2884449c4442d68d688c7f2fe45f165aad3aaa14f1a7

Observation e7fb6046-e075-4835-bc60-fcf60f68efc6 · outbound

This paper cites Objectstitch: Object compositing with diffu- sion model.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Objectstitch: Object compositing with diffu- sion model

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.292120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.027977Z digest=sha256:bcac99382a69219c44fce8555f97a864ada980b0e44f6f6b3fb57be63f749515

Observation 223cb636-ebe5-43c8-9435-3f23bca69d4c · outbound

This paper cites Rigid-body dynamics with friction and impact.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Rigid-body dynamics with friction and impact

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.279704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.032784Z digest=sha256:f0af1580bcbca4627bec4f7f544a0b7fe2ff828a60c86d8ab99cc907ff8d9d6b

Observation b70ab44a-1acd-424a-bd46-d8d2df3bc7f2 · outbound

This paper cites Single image portrait relighting.TOG, 38(4):1–12,.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Single image portrait relighting.TOG, 38(4):1–12,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.268221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.037106Z digest=sha256:470ae41a63f2d8abeeac069139cdcad161c86079de0ec438876238ec2d395ae6

Observation 3451cb12-e2a8-4623-8b79-b72359354100 · outbound

This paper cites The art and style of product pho- tography.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data The art and style of product pho- tography

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.255826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.040977Z digest=sha256:3cec4dd933aa4b3701957d1b9e94dfb5dcf606034dcf2d7e7fdbf09669e82e32

Observation 140b94e9-02c2-442e-ab4d-dbb68895c63f · outbound

This paper cites Matting by generation.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Matting by generation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.243778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.044416Z digest=sha256:1c049cef1533736886393afca754ed6194699a242388f3d375ac4aa0eab7709b

Observation 6e712cb6-7b57-40a0-9d71-7bd43cf6ed72 · outbound

This paper cites Object- drop: Bootstrapping counterfactuals for photorealistic object removal and insertion, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Object- drop: Bootstrapping counterfactuals for photorealistic object removal and insertion, 2024

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.232994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.048001Z digest=sha256:ba01f52c773c7e33d26a4ee25b4ce17699913933c599165b6b4003fbe4465042

Observation 9a53c231-b899-48db-ad28-b86e20825342 · outbound

This paper cites Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.221910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.051659Z digest=sha256:0c332ff636611a8a0e000caa32bacb678e502616d7bb0943a2afefd9130ea382

Observation b1e4f669-c8ee-4b7b-9626-bbb4e3aacdf5 · outbound

This paper cites UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T14:29:30.055179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:29:30.055179Z digest=sha256:c4ef57485c8a424b68abae443ad04f3570464e78f6cfdea910c0331eb4c208e8

Observation 49eda897-0a3d-4395-870c-be91df34459b · outbound

This paper cites Diffusion models: A comprehen- sive survey of methods and applications.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Diffusion models: A comprehen- sive survey of methods and applications

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.209487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.059040Z digest=sha256:f97a68ec1b0dda4ea12f4f26574a766bc89b4722b35fb2e7d2650d4fceaa09df

Observation dc196a28-5808-4596-b05c-dc788ad8530e · outbound

This paper cites Stablenormal: Reducing diffu- sion variance for stable and sharp normal.TOG, 2024.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Stablenormal: Reducing diffu- sion variance for stable and sharp normal.TOG, 2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.197348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.062500Z digest=sha256:e6422a1710083e952706dcedfbc51e4cf90ce0c82ca0e1b09d25b202c6c63252

Observation ca5657c9-cccd-4703-ab62-679ebf5c594f · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Adding conditional control to text-to-image diffusion models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T14:29:30.065732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:29:30.065732Z digest=sha256:35d64b9fa6594feff8088f85d1882cc3b9afdc050d5047f1705690cb2ffba55e

Observation b09a7b21-097e-44df-bb90-cd616bf22085 · outbound

This paper cites Shad- owgan: Shadow synthesis for virtual objects with con- ditional adversarial networks.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Shad- owgan: Shadow synthesis for virtual objects with con- ditional adversarial networks

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.178771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.068756Z digest=sha256:ebf69eb0439e2616712990e708504095af719c41044509841fe8fee0f13fad0f

Observation 0eb836bd-425c-4d88-8717-38f0f560052d · outbound

This paper cites 4.1, we gathered 9,922 3D meshes created by professional artists publicly available on blenderkit 2 with a free of use, representing a diverse array of real-world object categories.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data 4.1, we gathered 9,922 3D meshes created by professional artists publicly available on blenderkit 2 with a free of use, representing a diverse array of real-world object categories

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.166733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.071816Z digest=sha256:bff5b96ca9a8d015e1b20c448b4814cf7d1592a592eca08b729cc329778116e9

Observation 38983334-a53a-4a35-b3ea-364f471a0158 · outbound

This paper cites 8 compares models trained with various prediction types across multiple sampling steps and training iterations, using only IoU as the evaluation metric.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data 8 compares models trained with various prediction types across multiple sampling steps and training iterations, using only IoU as the evaluation metric

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.155049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.074900Z digest=sha256:1412ef78ee768d775ca6a468fdce6cb28be91017e5c33e3d9c42566416c42252

Observation 8a04ac7e-b01b-4cc9-bad4-7a41b912da21 · outbound

This paper cites Some 3D meshes, such as those in the seating set category (see Fig.

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data Some 3D meshes, such as those in the seating set category (see Fig

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:29:30.140259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T14:29:30.079100Z digest=sha256:c160cd10fc0d748755c0537382b0e131502ac0ca8b323d222030600ba74e0e00

Pith citing papers

No inbound Pith citation observations are available.